- published: 19 May 2013
- views: 12977
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Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
- published: 20 May 2013
- views: 604598
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
- published: 19 Feb 2009
- views: 38623
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 14 Jan 2013
- views: 24854
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
- published: 31 Mar 2012
- views: 551808
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/xokz
Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB
Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview
Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges
Top Coder: https://simpleprogrammer.com/topcoder
Codility: https://simpleprogrammer.com/codility
Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview
Programming Pearls: https://simpleprogrammer.com/programmingpearls
How To Learn Algorithms?
Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much.
I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless.
An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.
So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all?
In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know.
If you have a question, email me at john@simpleprogrammer.com
If you liked this video, share, like and, of course, subscribe!
Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT
Visit Simple Programmer Website: http://simpleprogrammer.com/
Connect with me on social media:
Facebook: https://www.facebook.com/SimpleProgrammer
Twitter: https://twitter.com/jsonmez
Other Links:
Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email
Simple Programmer blog: http://simpleprogrammer.com/blog
Learn how to learn anything quickly: http://10stepstolearn.com
Boost your career now: http://devcareerboost.com
#programming #algorithms #learnalgorithms #programmingalgorithms
- published: 30 Dec 2016
- views: 32480
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
- published: 06 May 2016
- views: 2608
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure.
On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
- published: 05 Apr 2013
- views: 107420
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
- published: 12 May 2016
- views: 40440
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 06 Oct 2016
- views: 19867
Get the Code Here: http://goo.gl/2AJYt
Support me on Patreon : https://www.patreon.com/derekbanas?ty=h
Welcome to my Java Algorithms tutorial. In this series I will cover everything there is to know about Java algorithms and data structures.
An algorithm is just the steps you take to manipulate data. A data structure is the way data is arranged in memory. There are 3 main data structure operations I will focus on first being inserting, deleting and searching for data.
Like all of my tutorials, everything is simple at first and then I cover more complex topics.
- published: 25 Feb 2013
- views: 322492
Neural network (disambiguation)
Neural network(s) may refer to:
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Neural_network_(disambiguation)
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
David J
David John Haskins (born 24 April 1957, Northampton, England), better known as David J, is a British alternative rock musician, producer, and writer. He was the bassist for the gothic rock band Bauhaus and Love and Rockets.
He has composed the scores for a number of plays and films, and also wrote and directed his own play, Silver for Gold (The Odyssey of Edie Sedgwick), in 2008, which was restaged at REDCAT in Los Angeles in 2011, and The Chanteuse and The Devil's Muse, 2011. His artwork has been shown in galleries internationally, and he has been a resident DJ at venues such as the Knitting Factory.
David J has released a number of singles and solo albums, and in 1990 he released one of the first No. 1 hits on the newly created Modern Rock Tracks charts, with "I'll Be Your Chauffeur." He released the single "Tidal Wave of Blood" in 2010 with Shok, and he has a new album, An Eclipse of Ships, due out in April 2014. He is currently touring with his new band, The Gentleman Thieves.
Early life
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/David_J
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
David Malan (computer scientist)
David J. Malan /deɪvɪd dʒeɪ meɪlɛn/ is a professor of Computer Science at the Harvard School of Engineering and Applied Sciences. His research interests include cybersecurity, digital forensics, botnets, computer science education, distance learning, collaborative learning, and computer-assisted instruction.
Malan teaches Computer Science 50, the largest course in Harvard College, known as CS50x at edX. He also teaches at Harvard Extension School and Harvard Summer School.
Professional career
During undergraduate study at Harvard, Malan worked part-time for the Middlesex District Attorney's Office as a forensic investigator, after which he founded his own two startups. On the side since 2003, he volunteered as an emergency medical technician (EMT-B) for MIT-EMS. He continues to volunteer as an EMT-B for the American Red Cross.
He professionally worked for Mindset Media, LLC during 2008 – 2011 as Chief Information Officer (CIO), where he was responsible for advertising network’s scalability, security, and capacity-planning. Designed infrastructure for collection of massive datasets capable of 500M HTTP hits per day with peaks of 10K per second. Later Mindset Media was acquired by Meebo, Inc.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/David_Malan_(computer_scientist)
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Thomas Griffiths
Thomas, Tom or Tommy Griffiths may refer to:
See also
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Thomas_Griffiths
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Brian Christian
Brian Christian (born 1984 in Wilmington, Delaware) is an American author and poet, best known for his book The Most Human Human. He competed as a "confederate" in the 2009 Loebner Prize competition, attempting to seem "more human" than the humans taking the test, and succeeded. He was interviewed by Jon Stewart on The Daily Show on March 8, 2011.
In 2010, Christian collaborated with film director Michael Langan on a short film adaptation of Christian's poem "Heliotropes."
Christian attended high school at the prestigious High Technology High School in Lincroft, NJ.
Christian holds a degree from Brown University in computer science and philosophy, and an MFA in poetry from the University of Washington. He is also an alumnus of High Technology High School class of 2002. He is a native of Little Silver, New Jersey.
References
External links
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Brian_Christian
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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7:29Algorithm Building Method
Algorithm Building MethodAlgorithm Building Method
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers. -
4:58What's an algorithm? - David J. Malan
What's an algorithm? - David J. MalanWhat's an algorithm? - David J. Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones. Lesson by David J. Malan, animation by enjoyanimation. -
6:31Developing Algorithms (Previous Release)
Developing Algorithms (Previous Release)Developing Algorithms (Previous Release)
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video -
58:26R11. Principles of Algorithm Design
R11. Principles of Algorithm DesignR11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu -
33:33Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C ProgrammingConcepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore -
4:50Programming Algorithms: How To Learn Algorithms?
Programming Algorithms: How To Learn Algorithms?Programming Algorithms: How To Learn Algorithms?
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges Top Coder: https://simpleprogrammer.com/topcoder Codility: https://simpleprogrammer.com/codility Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview Programming Pearls: https://simpleprogrammer.com/programmingpearls How To Learn Algorithms? Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much. I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless. An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks. So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all? In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know. If you have a question, email me at john@simpleprogrammer.com If you liked this video, share, like and, of course, subscribe! Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT Visit Simple Programmer Website: http://simpleprogrammer.com/ Connect with me on social media: Facebook: https://www.facebook.com/SimpleProgrammer Twitter: https://twitter.com/jsonmez Other Links: Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email Simple Programmer blog: http://simpleprogrammer.com/blog Learn how to learn anything quickly: http://10stepstolearn.com Boost your career now: http://devcareerboost.com #programming #algorithms #learnalgorithms #programmingalgorithms -
32:49Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing LoungeDeveloping Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable. In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system. Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed. This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink. Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information. Lane Departure Warning System: http://goo.gl/dDRgns Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH -
16:16Solving Programming Problems
Solving Programming ProblemsSolving Programming Problems
Ge the Code Here: http://goo.gl/R6R1F To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure. On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem. -
1:07:28Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at GoogleBrian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco. Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley. On behalf of Talks at Google this talk was hosted by Boris Debic. eBook https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ -
59:33CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples. The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them. — Marshall Clow Principal Engineer, Qualcomm, Inc. Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries. — Videos Filmed & Edited by Bash Films: http://www.BashFilms.com -
2:28The Big Bang Theory - The Friendship Algorithm
The Big Bang Theory - The Friendship Algorithm -
15:09Java Algorithms
Java AlgorithmsJava Algorithms
Get the Code Here: http://goo.gl/2AJYt Support me on Patreon : https://www.patreon.com/derekbanas?ty=h Welcome to my Java Algorithms tutorial. In this series I will cover everything there is to know about Java algorithms and data structures. An algorithm is just the steps you take to manipulate data. A data structure is the way data is arranged in memory. There are 3 main data structure operations I will focus on first being inserting, deleting and searching for data. Like all of my tutorials, everything is simple at first and then I cover more complex topics. -
3:55Hash Algorithms - Web Development
Hash Algorithms - Web DevelopmentHash Algorithms - Web Development
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253. -
10:07Developing Training Algorithms for Convolutional Neural Networks
Developing Training Algorithms for Convolutional Neural NetworksDeveloping Training Algorithms for Convolutional Neural Networks
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier ECTE953 Advanced Project November 2013 School of Electrical, Computer & Telecommunications Engineering (SECTE) at the University of Wollongong (UOW) ABSTRACT During the last decades several visual recognition problems have been investigated. Image processing permits for example face detection, face recognition, facial expression analysis, car detection, optical character recognition, or hand written digit recognition. Neural networks (NN) have been found almost unavoidable in pattern recognition. In fact recognition systems are more efficient when they focus on learning techniques. LeCun proposed convolutional neural networks (CNN) which are NN with three key architectural ideas: local receptive fields, weight sharing, and sub-sampling in the spatial domain. Networks are designed for the recognition of two-dimensional visual patterns. CNN have many strengths. Firstly, feature extraction and classification are integrated into one structure and are fully adaptive. Secondly, the network extracts two-dimensional image features at increasing dyadic scales. Thirdly, it is relatively invariant to geometric, local distortions in the image. This project aims to develop fast training algorithms for CNN. It is based on Phung and Bouzerdoum's CNN library and develops two algorithms: the improved resilient back-propagation and the algorithm for pattern recognition. They are compared on a face versus non-face classification with the two existing algorithms (resilient back-propagation and gradient descent). The programming is done in MATLAB.
-
Algorithm Building Method
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
published: 19 May 2013 -
What's an algorithm? - David J. Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones. Lesson by David J. Malan, animation by enjoyanimation.
published: 20 May 2013 -
Developing Algorithms (Previous Release)
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
published: 19 Feb 2009 -
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
published: 14 Jan 2013 -
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
published: 31 Mar 2012 -
Programming Algorithms: How To Learn Algorithms?
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges Top Coder: https://simpleprogrammer.com/topcoder Codility: https://simpleprogrammer.com/codility Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview Programming Pearls: https://simpleprogrammer.com/programmingpearls How To Learn Algorithms? Recently, I did a vid...
published: 30 Dec 2016 -
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable. In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system. Marco demonstrates how to handle this multi-domain problem in the MATLAB an...
published: 06 May 2016 -
Solving Programming Problems
Ge the Code Here: http://goo.gl/R6R1F To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure. On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
published: 05 Apr 2013 -
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book ...
published: 12 May 2016 -
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples. The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std:...
published: 06 Oct 2016 -
-
Java Algorithms
Get the Code Here: http://goo.gl/2AJYt Support me on Patreon : https://www.patreon.com/derekbanas?ty=h Welcome to my Java Algorithms tutorial. In this series I will cover everything there is to know about Java algorithms and data structures. An algorithm is just the steps you take to manipulate data. A data structure is the way data is arranged in memory. There are 3 main data structure operations I will focus on first being inserting, deleting and searching for data. Like all of my tutorials, everything is simple at first and then I cover more complex topics.
published: 25 Feb 2013 -
Hash Algorithms - Web Development
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253.
published: 23 Feb 2015 -
Developing Training Algorithms for Convolutional Neural Networks
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier ECTE953 Advanced Project November 2013 School of Electrical, Computer & Telecommunications Engineering (SECTE) at the University of Wollongong (UOW) ABSTRACT During the last decades several visual recognition problems have been investigated. Image processing permits for example face detection, face recognition, facial expression analysis, car detection, optical character recognition, or hand written digit recognition. Neural networks (NN) have been found almost unavoidable in pattern recognition. In fact recognition systems are more efficient when they focus on learning techniques. LeCun proposed convolutional neural networks (CNN) which are NN with three key architectural ideas: local receptive fields, we...
published: 05 Nov 2013 -
Developing Algorithms.mp4
published: 15 Dec 2012 -
Developing Algorithms-Teaser Video
Here is a SNEAK PEEK Of The Developing Algorithms Video, to watch the entire video log on to www.ezed.in
published: 09 Nov 2013
Algorithm Building Method
- Order: Reorder
- Duration: 7:29
- Updated: 19 May 2013
- views: 12977
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and...
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
https://wn.com/Algorithm_Building_Method
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
- published: 19 May 2013
- views: 12977
What's an algorithm? - David J. Malan
- Order: Reorder
- Duration: 4:58
- Updated: 20 May 2013
- views: 604598
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big an...
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
https://wn.com/What's_An_Algorithm_David_J._Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
- published: 20 May 2013
- views: 604598
Developing Algorithms (Previous Release)
- Order: Reorder
- Duration: 6:31
- Updated: 19 Feb 2009
- views: 38623
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level la...
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
https://wn.com/Developing_Algorithms_(Previous_Release)
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
- published: 19 Feb 2009
- views: 38623
R11. Principles of Algorithm Design
- Order: Reorder
- Duration: 58:26
- Updated: 14 Jan 2013
- views: 24854
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC...
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/R11._Principles_Of_Algorithm_Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 14 Jan 2013
- views: 24854
Concepts of Algorithm, Flow Chart & C Programming
- Order: Reorder
- Duration: 33:33
- Updated: 31 Mar 2012
- views: 551808
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
https://wn.com/Concepts_Of_Algorithm,_Flow_Chart_C_Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
- published: 31 Mar 2012
- views: 551808
Programming Algorithms: How To Learn Algorithms?
- Order: Reorder
- Duration: 4:50
- Updated: 30 Dec 2016
- views: 32480
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/x...
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/xokz
Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB
Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview
Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges
Top Coder: https://simpleprogrammer.com/topcoder
Codility: https://simpleprogrammer.com/codility
Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview
Programming Pearls: https://simpleprogrammer.com/programmingpearls
How To Learn Algorithms?
Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much.
I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless.
An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.
So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all?
In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know.
If you have a question, email me at john@simpleprogrammer.com
If you liked this video, share, like and, of course, subscribe!
Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT
Visit Simple Programmer Website: http://simpleprogrammer.com/
Connect with me on social media:
Facebook: https://www.facebook.com/SimpleProgrammer
Twitter: https://twitter.com/jsonmez
Other Links:
Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email
Simple Programmer blog: http://simpleprogrammer.com/blog
Learn how to learn anything quickly: http://10stepstolearn.com
Boost your career now: http://devcareerboost.com
#programming #algorithms #learnalgorithms #programmingalgorithms
https://wn.com/Programming_Algorithms_How_To_Learn_Algorithms
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/xokz
Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB
Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview
Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges
Top Coder: https://simpleprogrammer.com/topcoder
Codility: https://simpleprogrammer.com/codility
Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview
Programming Pearls: https://simpleprogrammer.com/programmingpearls
How To Learn Algorithms?
Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much.
I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless.
An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.
So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all?
In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know.
If you have a question, email me at john@simpleprogrammer.com
If you liked this video, share, like and, of course, subscribe!
Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT
Visit Simple Programmer Website: http://simpleprogrammer.com/
Connect with me on social media:
Facebook: https://www.facebook.com/SimpleProgrammer
Twitter: https://twitter.com/jsonmez
Other Links:
Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email
Simple Programmer blog: http://simpleprogrammer.com/blog
Learn how to learn anything quickly: http://10stepstolearn.com
Boost your career now: http://devcareerboost.com
#programming #algorithms #learnalgorithms #programmingalgorithms
- published: 30 Dec 2016
- views: 32480
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
- Order: Reorder
- Duration: 32:49
- Updated: 06 May 2016
- views: 2608
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dang...
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
https://wn.com/Developing_Algorithms_For_Adas_Systems_With_Matlab_And_Simulink_Matlab_And_Simulink_Racing_Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
- published: 06 May 2016
- views: 2608
Solving Programming Problems
- Order: Reorder
- Duration: 16:16
- Updated: 05 Apr 2013
- views: 107420
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in gene...
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure.
On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
https://wn.com/Solving_Programming_Problems
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure.
On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
- published: 05 Apr 2013
- views: 107420
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
- Order: Reorder
- Duration: 1:07:28
- Updated: 12 May 2016
- views: 40440
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian ...
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
https://wn.com/Brian_Christian_Tom_Griffiths_Algorithms_To_Live_By_|_Talks_At_Google
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
- published: 12 May 2016
- views: 40440
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
- Order: Reorder
- Duration: 59:33
- Updated: 06 Oct 2016
- views: 19867
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the mos...
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
https://wn.com/Cppcon_2016_Marshall_Clow_“Stl_Algorithms_Why_You_Should_Use_Them,_And_How_To_Write_Your_Own
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 06 Oct 2016
- views: 19867
The Big Bang Theory - The Friendship Algorithm
- Order: Reorder
- Duration: 2:28
- Updated: 20 Jan 2009
- views: 3177892
Season 2, episode 13
Sheldon displays his friendship algorithm as a flow chart, and tests it.
(this belongs to CBS, not me, I'm just enlightening you with...
Season 2, episode 13
Sheldon displays his friendship algorithm as a flow chart, and tests it.
(this belongs to CBS, not me, I'm just enlightening you with Sheldon's awesomeness)
https://wn.com/The_Big_Bang_Theory_The_Friendship_Algorithm
Java Algorithms
- Order: Reorder
- Duration: 15:09
- Updated: 25 Feb 2013
- views: 322492
Get the Code Here: http://goo.gl/2AJYt
Support me on Patreon : https://www.patreon.com/derekbanas?ty=h
Welcome to my Java Algorithms tutorial. In this series ...
Get the Code Here: http://goo.gl/2AJYt
Support me on Patreon : https://www.patreon.com/derekbanas?ty=h
Welcome to my Java Algorithms tutorial. In this series I will cover everything there is to know about Java algorithms and data structures.
An algorithm is just the steps you take to manipulate data. A data structure is the way data is arranged in memory. There are 3 main data structure operations I will focus on first being inserting, deleting and searching for data.
Like all of my tutorials, everything is simple at first and then I cover more complex topics.
https://wn.com/Java_Algorithms
Get the Code Here: http://goo.gl/2AJYt
Support me on Patreon : https://www.patreon.com/derekbanas?ty=h
Welcome to my Java Algorithms tutorial. In this series I will cover everything there is to know about Java algorithms and data structures.
An algorithm is just the steps you take to manipulate data. A data structure is the way data is arranged in memory. There are 3 main data structure operations I will focus on first being inserting, deleting and searching for data.
Like all of my tutorials, everything is simple at first and then I cover more complex topics.
- published: 25 Feb 2013
- views: 322492
Hash Algorithms - Web Development
- Order: Reorder
- Duration: 3:55
- Updated: 23 Feb 2015
- views: 468
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253.
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253.
https://wn.com/Hash_Algorithms_Web_Development
This video is part of an online course, Web Development. Check out the course here: https://www.udacity.com/course/cs253.
- published: 23 Feb 2015
- views: 468
Developing Training Algorithms for Convolutional Neural Networks
- Order: Reorder
- Duration: 10:07
- Updated: 05 Nov 2013
- views: 4612
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier
ECTE953 Advanced Project
November 2013
School of Electrical, Computer & Tele...
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier
ECTE953 Advanced Project
November 2013
School of Electrical, Computer & Telecommunications Engineering (SECTE) at the University of Wollongong (UOW)
ABSTRACT
During the last decades several visual recognition problems have been investigated. Image processing permits for example face detection, face recognition, facial expression analysis, car detection, optical character recognition, or hand written digit recognition. Neural networks (NN) have been found almost unavoidable in pattern recognition. In fact recognition systems are more efficient when they focus on learning techniques.
LeCun proposed convolutional neural networks (CNN) which are NN with three key architectural ideas: local receptive fields, weight sharing, and sub-sampling in the spatial domain. Networks are designed for the recognition of two-dimensional visual patterns. CNN have many strengths. Firstly, feature extraction and classification are integrated into one structure and are fully adaptive. Secondly, the network extracts two-dimensional image features at increasing dyadic scales. Thirdly, it is relatively invariant to geometric, local distortions in the image.
This project aims to develop fast training algorithms for CNN. It is based on Phung and Bouzerdoum's CNN library and develops two algorithms: the improved resilient back-propagation and the algorithm for pattern recognition. They are compared on a face versus non-face classification with the two existing algorithms (resilient back-propagation and gradient descent). The programming is done in MATLAB.
https://wn.com/Developing_Training_Algorithms_For_Convolutional_Neural_Networks
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier
ECTE953 Advanced Project
November 2013
School of Electrical, Computer & Telecommunications Engineering (SECTE) at the University of Wollongong (UOW)
ABSTRACT
During the last decades several visual recognition problems have been investigated. Image processing permits for example face detection, face recognition, facial expression analysis, car detection, optical character recognition, or hand written digit recognition. Neural networks (NN) have been found almost unavoidable in pattern recognition. In fact recognition systems are more efficient when they focus on learning techniques.
LeCun proposed convolutional neural networks (CNN) which are NN with three key architectural ideas: local receptive fields, weight sharing, and sub-sampling in the spatial domain. Networks are designed for the recognition of two-dimensional visual patterns. CNN have many strengths. Firstly, feature extraction and classification are integrated into one structure and are fully adaptive. Secondly, the network extracts two-dimensional image features at increasing dyadic scales. Thirdly, it is relatively invariant to geometric, local distortions in the image.
This project aims to develop fast training algorithms for CNN. It is based on Phung and Bouzerdoum's CNN library and develops two algorithms: the improved resilient back-propagation and the algorithm for pattern recognition. They are compared on a face versus non-face classification with the two existing algorithms (resilient back-propagation and gradient descent). The programming is done in MATLAB.
- published: 05 Nov 2013
- views: 4612
Developing Algorithms.mp4
- Order: Reorder
- Duration: 6:31
- Updated: 15 Dec 2012
- views: 10
- published: 15 Dec 2012
- views: 10
Developing Algorithms-Teaser Video
- Order: Reorder
- Duration: 1:49
- Updated: 09 Nov 2013
- views: 228
Here is a SNEAK PEEK Of The Developing Algorithms Video, to watch the entire video log on to www.ezed.in
Here is a SNEAK PEEK Of The Developing Algorithms Video, to watch the entire video log on to www.ezed.in
https://wn.com/Developing_Algorithms_Teaser_Video
Here is a SNEAK PEEK Of The Developing Algorithms Video, to watch the entire video log on to www.ezed.in
- published: 09 Nov 2013
- views: 228
-
Algorithm Building Method
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
published: 19 May 2013 -
What's an algorithm? - David J. Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones. Lesson by David J. Malan, animation by enjoyanimation.
published: 20 May 2013 -
Developing Algorithms (Previous Release)
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
published: 19 Feb 2009 -
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
published: 14 Jan 2013 -
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
published: 31 Mar 2012 -
Programming Algorithms: How To Learn Algorithms?
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges Top Coder: https://simpleprogrammer.com/topcoder Codility: https://simpleprogrammer.com/codility Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview Programming Pearls: https://simpleprogrammer.com/programmingpearls How To Learn Algorithms? Recently, I did a vid...
published: 30 Dec 2016 -
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable. In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system. Marco demonstrates how to handle this multi-domain problem in the MATLAB an...
published: 06 May 2016 -
Solving Programming Problems
Ge the Code Here: http://goo.gl/R6R1F To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure. On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
published: 05 Apr 2013 -
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book ...
published: 12 May 2016 -
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples. The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std:...
published: 06 Oct 2016
Algorithm Building Method
- Order: Reorder
- Duration: 7:29
- Updated: 19 May 2013
- views: 12977
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and...
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
https://wn.com/Algorithm_Building_Method
Learn the methodology of building algorithms for computer programming with simple approach, this video explains one simple algorithm i.e how to identify Min and Max numbers from stream of input numbers.
- published: 19 May 2013
- views: 12977
What's an algorithm? - David J. Malan
- Order: Reorder
- Duration: 4:58
- Updated: 20 May 2013
- views: 604598
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big an...
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
https://wn.com/What's_An_Algorithm_David_J._Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
- published: 20 May 2013
- views: 604598
Developing Algorithms (Previous Release)
- Order: Reorder
- Duration: 6:31
- Updated: 19 Feb 2009
- views: 38623
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level la...
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
https://wn.com/Developing_Algorithms_(Previous_Release)
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to Buy: https://goo.gl/vsIeA5
Develop algorithms using the high-level language and development tools in MATLAB. Download code and watch other videos at http://mathworks.com/video
- published: 19 Feb 2009
- views: 38623
R11. Principles of Algorithm Design
- Order: Reorder
- Duration: 58:26
- Updated: 14 Jan 2013
- views: 24854
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC...
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/R11._Principles_Of_Algorithm_Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 14 Jan 2013
- views: 24854
Concepts of Algorithm, Flow Chart & C Programming
- Order: Reorder
- Duration: 33:33
- Updated: 31 Mar 2012
- views: 551808
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
https://wn.com/Concepts_Of_Algorithm,_Flow_Chart_C_Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
- published: 31 Mar 2012
- views: 551808
Programming Algorithms: How To Learn Algorithms?
- Order: Reorder
- Duration: 4:50
- Updated: 30 Dec 2016
- views: 32480
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/x...
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/xokz
Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB
Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview
Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges
Top Coder: https://simpleprogrammer.com/topcoder
Codility: https://simpleprogrammer.com/codility
Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview
Programming Pearls: https://simpleprogrammer.com/programmingpearls
How To Learn Algorithms?
Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much.
I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless.
An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.
So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all?
In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know.
If you have a question, email me at john@simpleprogrammer.com
If you liked this video, share, like and, of course, subscribe!
Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT
Visit Simple Programmer Website: http://simpleprogrammer.com/
Connect with me on social media:
Facebook: https://www.facebook.com/SimpleProgrammer
Twitter: https://twitter.com/jsonmez
Other Links:
Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email
Simple Programmer blog: http://simpleprogrammer.com/blog
Learn how to learn anything quickly: http://10stepstolearn.com
Boost your career now: http://devcareerboost.com
#programming #algorithms #learnalgorithms #programmingalgorithms
https://wn.com/Programming_Algorithms_How_To_Learn_Algorithms
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://simpleprogrammer.com/careerguide-yt
SUBSCRIBE TO THIS CHANNEL: vid.io/xokz
Learning Algorithms: Is It Really Necessary?: https://www.youtube.com/watch?v=FJcG-6g4wA4&index=16&list=PLjwWT1Xy3c4XYAbLKJ54J7eC5ft01eFeB
Preparing For A Job Interview Pluralsight Course: https://simpleprogrammer.com/pluralsightinterview
Becoming A Better Developer With Programming Challenges: https://simpleprogrammer.com/programmingchallenges
Top Coder: https://simpleprogrammer.com/topcoder
Codility: https://simpleprogrammer.com/codility
Cracking The Coding Interview: https://simpleprogrammer.com/codinginterview
Programming Pearls: https://simpleprogrammer.com/programmingpearls
How To Learn Algorithms?
Recently, I did a video about algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about algorithms and well... In the end, it might not be ALL OF THIS for you to worry about it so much.
I know this topic divides opinions on the internet. Some programmers might say that learning algorithms will definitely make your career stand out from the crowd, while others might say that you should not invest your time in learning algorithms because it is useless.
An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.
So, a lot of programmers started to ask me: Okay John, how do I learn algorithms after all?
In this video, I'll provide you the best resources on the internet for learning algorithms and everything you need to know.
If you have a question, email me at john@simpleprogrammer.com
If you liked this video, share, like and, of course, subscribe!
Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT
Visit Simple Programmer Website: http://simpleprogrammer.com/
Connect with me on social media:
Facebook: https://www.facebook.com/SimpleProgrammer
Twitter: https://twitter.com/jsonmez
Other Links:
Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email
Simple Programmer blog: http://simpleprogrammer.com/blog
Learn how to learn anything quickly: http://10stepstolearn.com
Boost your career now: http://devcareerboost.com
#programming #algorithms #learnalgorithms #programmingalgorithms
- published: 30 Dec 2016
- views: 32480
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
- Order: Reorder
- Duration: 32:49
- Updated: 06 May 2016
- views: 2608
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dang...
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
https://wn.com/Developing_Algorithms_For_Adas_Systems_With_Matlab_And_Simulink_Matlab_And_Simulink_Racing_Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
- published: 06 May 2016
- views: 2608
Solving Programming Problems
- Order: Reorder
- Duration: 16:16
- Updated: 05 Apr 2013
- views: 107420
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in gene...
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure.
On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
https://wn.com/Solving_Programming_Problems
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought it would be interesting to cover solving programming problems in general. So, in this tutorial I'll answer the question I've been getting, which is how to print a tree data structure.
On our journey to better understand how to solve problems I will first solve the basic problem. Then in the next part of the tutorial I will perfect printing any type of tree. The code above will better explain the process of solving this problem.
- published: 05 Apr 2013
- views: 107420
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
- Order: Reorder
- Duration: 1:07:28
- Updated: 12 May 2016
- views: 40440
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian ...
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
https://wn.com/Brian_Christian_Tom_Griffiths_Algorithms_To_Live_By_|_Talks_At_Google
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
- published: 12 May 2016
- views: 40440
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
- Order: Reorder
- Duration: 59:33
- Updated: 06 Oct 2016
- views: 19867
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the mos...
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
https://wn.com/Cppcon_2016_Marshall_Clow_“Stl_Algorithms_Why_You_Should_Use_Them,_And_How_To_Write_Your_Own
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 06 Oct 2016
- views: 19867
-
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
published: 14 Jan 2013 -
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
published: 31 Mar 2012 -
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable. In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system. Marco demonstrates how to handle this multi-domain problem in the MATLAB an...
published: 06 May 2016 -
Developing Machine Learning and Deep Learning Algorithms Using MATLAB
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Machine learning is ubiquitous. From medical diagnosis, speech, and object recognition to engine health monitoring and predictive maintenance, machine learning techniques are being used to make critical engineering and business decisions every moment of the day. In this session, we look at different machine learning techniques in MATLAB®, and in particular, we address the computer vision problem of object recognition using deep learning.
published: 13 Jul 2017 -
Developing algorithms for Net2Plan: Offline Network Design algorithms
The Offline Network Design Tool assists the user in the process of offline network design and planning. Complete topologies can be created (with nodes, links and demands) and routes and protections segments can be defined. This tool also allows the execution of algorithms that can modify the topology or generate reports containing statistical information. In this video, you will learn how to execute algorithms in the Offline Network Design tools. Also how these algorithm are coded, how to modify them, create new ones and load and execute them in Net2Plan. Net2Plan: http://www.net2plan.com
published: 06 Mar 2014 -
Developing Diagnostic Algorithms from Medical Data
Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC Berkeley Sponsor: CITRIS (Ctr for Information Technology Research in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar Abstract: The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.
published: 20 Oct 2011 -
Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, path following for differential drive robots, and Vector Field Histogram Plus (VFH+) obstacle avoidance. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox. The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators ...
published: 28 Apr 2017 -
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book ...
published: 12 May 2016 -
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples. The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std:...
published: 06 Oct 2016 -
Developing algorithms for Net2Plan: Network Recovery algorithms for Resilience simulation
Resilience Simulation tool simulates the network operation, where failures and links and nodes randomly appear according to the user-defined availability information of the network nodes/links. Allows testing built-in or user-made provisioning algorithms, that react to failure/reparation events from an initial network design. Network and service availability results are collected and reported to the user. This video helps to load, run, modify and provide guidelines for develop user-defined algorithms for Resilience Simulation tool. More information about this and other tools can be found visiting www.net2plan.com.
published: 11 Mar 2014
R11. Principles of Algorithm Design
- Order: Reorder
- Duration: 58:26
- Updated: 14 Jan 2013
- views: 24854
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC...
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/R11._Principles_Of_Algorithm_Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Victor Costan
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 14 Jan 2013
- views: 24854
Concepts of Algorithm, Flow Chart & C Programming
- Order: Reorder
- Duration: 33:33
- Updated: 31 Mar 2012
- views: 551808
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
https://wn.com/Concepts_Of_Algorithm,_Flow_Chart_C_Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
- published: 31 Mar 2012
- views: 551808
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
- Order: Reorder
- Duration: 32:49
- Updated: 06 May 2016
- views: 2608
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dang...
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
https://wn.com/Developing_Algorithms_For_Adas_Systems_With_Matlab_And_Simulink_Matlab_And_Simulink_Racing_Lounge
Car safety systems are essential for the future of autonomous driving, and are already an important part of the cars we are driving today. Given that it is dangerous to test these systems in a real world environment, simulations for developing, testing, and verifying active safety system’s functionality are indispensable.
In this episode, we’ll discover how to realize lane tracking using Computer Vision System Toolbox™ and adaptive cruise control in MATLAB® and Simulink®. But sometimes it is not sufficient to have only one sensor, because each type of sensor is restricted and can only provide a limited amount of information. Thus sensor fusion is necessary to generate a reliable data basis for the control system.
Marco demonstrates how to handle this multi-domain problem in the MATLAB and Simulink environment. In fact, the sensor data (radar signals or camera images) needs to be processed and a control algorithms need to be developed.
This subject not only applies to automotive OEMs. Formula Student teams have been working on that for years. For this episode, Team Starkstrom from UAS Augsburg and in person Robert Dollinger has provided us with a short video of their autonomous driving racing car which has been developed using MATLAB and Simulink.
Links to the examples of this episode can be found in the MATLAB Documentation. Please check the following links for more information.
Lane Departure Warning System: http://goo.gl/dDRgns
Automotive Adaptive Cruise Control Using FMCW Technology: http://goo.gl/d7rlxI
Modeling RF Front End in Radar System Simulation: http://goo.gl/n9SZDH
- published: 06 May 2016
- views: 2608
Developing Machine Learning and Deep Learning Algorithms Using MATLAB
- Order: Reorder
- Duration: 28:05
- Updated: 13 Jul 2017
- views: 67
Free MATLAB Trial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Machine learning is ubiquitous. From medical ...
Free MATLAB Trial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Machine learning is ubiquitous. From medical diagnosis, speech, and object recognition to engine health monitoring and predictive maintenance, machine learning techniques are being used to make critical engineering and business decisions every moment of the day. In this session, we look at different machine learning techniques in MATLAB®, and in particular, we address the computer vision problem of object recognition using deep learning.
https://wn.com/Developing_Machine_Learning_And_Deep_Learning_Algorithms_Using_Matlab
Free MATLAB Trial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Machine learning is ubiquitous. From medical diagnosis, speech, and object recognition to engine health monitoring and predictive maintenance, machine learning techniques are being used to make critical engineering and business decisions every moment of the day. In this session, we look at different machine learning techniques in MATLAB®, and in particular, we address the computer vision problem of object recognition using deep learning.
- published: 13 Jul 2017
- views: 67
Developing algorithms for Net2Plan: Offline Network Design algorithms
- Order: Reorder
- Duration: 26:15
- Updated: 06 Mar 2014
- views: 639
The Offline Network Design Tool assists the user in the process of offline network design and planning. Complete topologies can be created (with nodes, links an...
The Offline Network Design Tool assists the user in the process of offline network design and planning. Complete topologies can be created (with nodes, links and demands) and routes and protections segments can be defined. This tool also allows the execution of algorithms that can modify the topology or generate reports containing statistical information.
In this video, you will learn how to execute algorithms in the Offline Network Design tools. Also how these algorithm are coded, how to modify them, create new ones and load and execute them in Net2Plan.
Net2Plan: http://www.net2plan.com
https://wn.com/Developing_Algorithms_For_Net2Plan_Offline_Network_Design_Algorithms
The Offline Network Design Tool assists the user in the process of offline network design and planning. Complete topologies can be created (with nodes, links and demands) and routes and protections segments can be defined. This tool also allows the execution of algorithms that can modify the topology or generate reports containing statistical information.
In this video, you will learn how to execute algorithms in the Offline Network Design tools. Also how these algorithm are coded, how to modify them, create new ones and load and execute them in Net2Plan.
Net2Plan: http://www.net2plan.com
- published: 06 Mar 2014
- views: 639
Developing Diagnostic Algorithms from Medical Data
- Order: Reorder
- Duration: 48:47
- Updated: 20 Oct 2011
- views: 893
Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC Berkeley
Sponsor: CITRIS (Ctr for Information Technology Research in the Interest of Society), ...
Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC Berkeley
Sponsor: CITRIS (Ctr for Information Technology Research in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.
https://wn.com/Developing_Diagnostic_Algorithms_From_Medical_Data
Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC Berkeley
Sponsor: CITRIS (Ctr for Information Technology Research in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.
- published: 20 Oct 2011
- views: 893
Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox
- Order: Reorder
- Duration: 45:05
- Updated: 28 Apr 2017
- views: 550
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Robotics System Toolbox™ provides alg...
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, path following for differential drive robots, and Vector Field Histogram Plus (VFH+) obstacle avoidance. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox.
The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators such as Gazebo. It supports C++ code generation, enabling you to generate a ROS node from a Simulink model and deploy it to a ROS network. For select Robotics System Toolbox™ algorithms, you can now generate C/C++ code using MATLAB® Coder™. You can create MEX-files and shared libraries from your MATLAB application. These code generation workflows are supported for the coordinate transformation functions (Coordinate System Transformations), the VFH+ obstacle avoidance algorithm, and the Pure Pursuit controller algorithm.
In this webinar, we demonstrate how to develop robotics applications with MATLAB, Simulink, and Robotics System Toolbox by introducing:
MATLAB-ROS Interface
Simulink-ROS Interface
Common Robotics Algorithms such as Path Planning and Collision Avoidance
https://wn.com/Developing_Robotics_Applications_With_Matlab,_Simulink,_And_Robotics_System_Toolbox
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, path following for differential drive robots, and Vector Field Histogram Plus (VFH+) obstacle avoidance. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox.
The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators such as Gazebo. It supports C++ code generation, enabling you to generate a ROS node from a Simulink model and deploy it to a ROS network. For select Robotics System Toolbox™ algorithms, you can now generate C/C++ code using MATLAB® Coder™. You can create MEX-files and shared libraries from your MATLAB application. These code generation workflows are supported for the coordinate transformation functions (Coordinate System Transformations), the VFH+ obstacle avoidance algorithm, and the Pure Pursuit controller algorithm.
In this webinar, we demonstrate how to develop robotics applications with MATLAB, Simulink, and Robotics System Toolbox by introducing:
MATLAB-ROS Interface
Simulink-ROS Interface
Common Robotics Algorithms such as Path Planning and Collision Avoidance
- published: 28 Apr 2017
- views: 550
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
- Order: Reorder
- Duration: 1:07:28
- Updated: 12 May 2016
- views: 40440
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian ...
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
https://wn.com/Brian_Christian_Tom_Griffiths_Algorithms_To_Live_By_|_Talks_At_Google
Practical, everyday advice which will easily provoke an interest in computer science.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.
Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.
On behalf of Talks at Google this talk was hosted by Boris Debic.
eBook
https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
- published: 12 May 2016
- views: 40440
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
- Order: Reorder
- Duration: 59:33
- Updated: 06 Oct 2016
- views: 19867
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the mos...
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
https://wn.com/Cppcon_2016_Marshall_Clow_“Stl_Algorithms_Why_You_Should_Use_Them,_And_How_To_Write_Your_Own
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016
—
One of the most powerful features of the C++ standard library is the collection of basic algorithms. Everyone knows about sort and copy, but there are is a lot of powerful capabilities in the other algorithms as well. In this talk, I will explore some of the algorithms in the library, and give a rationale for writing your own, along with examples.
The motivation for writing your own algorithms is that you can create generic building blocks that can be used over and over again in your library or application, and which will allow your to program at a higher level of abstraction. Instead of thinking, "how do I sort this vector", you just call std::sort. The same should apply to the algorithms that are specific to your domain - once you write them.
—
Marshall Clow
Principal Engineer, Qualcomm, Inc.
Marshall is a long-time LLVM and Boost participant. He is a principal engineer at Qualcomm, Inc. in San Diego, and the code owner for libc++, the LLVM standard library implementation. He is the author of the Boost.Algorithm library and maintains several other Boost libraries.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 06 Oct 2016
- views: 19867
Developing algorithms for Net2Plan: Network Recovery algorithms for Resilience simulation
- Order: Reorder
- Duration: 22:19
- Updated: 11 Mar 2014
- views: 608
Resilience Simulation tool simulates the network operation, where failures and links and nodes randomly appear according to the user-defined availability inform...
Resilience Simulation tool simulates the network operation, where failures and links and nodes randomly appear according to the user-defined availability information of the network nodes/links. Allows testing built-in or user-made provisioning algorithms, that react to failure/reparation events from an initial network design. Network and service availability results are collected and reported to the user.
This video helps to load, run, modify and provide guidelines for develop user-defined algorithms for Resilience Simulation tool.
More information about this and other tools can be found visiting www.net2plan.com.
https://wn.com/Developing_Algorithms_For_Net2Plan_Network_Recovery_Algorithms_For_Resilience_Simulation
Resilience Simulation tool simulates the network operation, where failures and links and nodes randomly appear according to the user-defined availability information of the network nodes/links. Allows testing built-in or user-made provisioning algorithms, that react to failure/reparation events from an initial network design. Network and service availability results are collected and reported to the user.
This video helps to load, run, modify and provide guidelines for develop user-defined algorithms for Resilience Simulation tool.
More information about this and other tools can be found visiting www.net2plan.com.
- published: 11 Mar 2014
- views: 608
- Playlist
- Chat
7:29
Algorithm Building Method
Learn the methodology of building algorithms for computer programming with simple approach...
published: 19 May 2013
Algorithm Building Method
Algorithm Building Method
- Report rights infringement
- published: 19 May 2013
- views: 12977
4:58
What's an algorithm? - David J. Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
...
published: 20 May 2013
What's an algorithm? - David J. Malan
What's an algorithm? - David J. Malan
- Report rights infringement
- published: 20 May 2013
- views: 604598
6:31
Developing Algorithms (Previous Release)
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to ...
published: 19 Feb 2009
Developing Algorithms (Previous Release)
Developing Algorithms (Previous Release)
- Report rights infringement
- published: 19 Feb 2009
- views: 38623
58:26
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.e...
published: 14 Jan 2013
R11. Principles of Algorithm Design
R11. Principles of Algorithm Design
- Report rights infringement
- published: 14 Jan 2013
- views: 24854
33:33
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer ...
published: 31 Mar 2012
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming
- Report rights infringement
- published: 31 Mar 2012
- views: 551808
4:50
Programming Algorithms: How To Learn Algorithms?
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://s...
published: 30 Dec 2016
Programming Algorithms: How To Learn Algorithms?
Programming Algorithms: How To Learn Algorithms?
- Report rights infringement
- published: 30 Dec 2016
- views: 32480
32:49
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an ...
published: 06 May 2016
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
- Report rights infringement
- published: 06 May 2016
- views: 2608
16:16
Solving Programming Problems
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought...
published: 05 Apr 2013
Solving Programming Problems
Solving Programming Problems
- Report rights infringement
- published: 05 Apr 2013
- views: 107420
1:07:28
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science.
In ...
published: 12 May 2016
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
- Report rights infringement
- published: 12 May 2016
- views: 40440
59:33
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials a...
published: 06 Oct 2016
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
- Report rights infringement
- published: 06 Oct 2016
- views: 19867
2:28
The Big Bang Theory - The Friendship Algorithm
Season 2, episode 13
Sheldon displays his friendship algorithm as a flow chart, and tes...
published: 20 Jan 2009
The Big Bang Theory - The Friendship Algorithm
The Big Bang Theory - The Friendship Algorithm
- Report rights infringement
- published: 20 Jan 2009
- views: 3177892
15:09
Java Algorithms
Get the Code Here: http://goo.gl/2AJYt
Support me on Patreon : https://www.patreon.com/de...
published: 25 Feb 2013
Java Algorithms
Java Algorithms
- Report rights infringement
- published: 25 Feb 2013
- views: 322492
3:55
Hash Algorithms - Web Development
This video is part of an online course, Web Development. Check out the course here: https:...
published: 23 Feb 2015
Hash Algorithms - Web Development
Hash Algorithms - Web Development
- Report rights infringement
- published: 23 Feb 2015
- views: 468
10:07
Developing Training Algorithms for Convolutional Neural Networks
Developing Training Algorithms for Convolutional Neural Networks by Susan Lamoitier
ECTE95...
published: 05 Nov 2013
Developing Training Algorithms for Convolutional Neural Networks
Developing Training Algorithms for Convolutional Neural Networks
- Report rights infringement
- published: 05 Nov 2013
- views: 4612
6:31
Developing Algorithms.mp4
published: 15 Dec 2012
Developing Algorithms.mp4
Developing Algorithms.mp4
- Report rights infringement
- published: 15 Dec 2012
- views: 10
1:49
Developing Algorithms-Teaser Video
Here is a SNEAK PEEK Of The Developing Algorithms Video, to watch the entire video log on ...
published: 09 Nov 2013
Developing Algorithms-Teaser Video
Developing Algorithms-Teaser Video
- Report rights infringement
- published: 09 Nov 2013
- views: 228
- Playlist
- Chat
7:29
Algorithm Building Method
Learn the methodology of building algorithms for computer programming with simple approach...
published: 19 May 2013
Algorithm Building Method
Algorithm Building Method
- Report rights infringement
- published: 19 May 2013
- views: 12977
4:58
What's an algorithm? - David J. Malan
View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
...
published: 20 May 2013
What's an algorithm? - David J. Malan
What's an algorithm? - David J. Malan
- Report rights infringement
- published: 20 May 2013
- views: 604598
6:31
Developing Algorithms (Previous Release)
Get a Free Trial: https://goo.gl/C2Y9A5
Get Pricing Info: https://goo.gl/kDvGHt
Ready to ...
published: 19 Feb 2009
Developing Algorithms (Previous Release)
Developing Algorithms (Previous Release)
- Report rights infringement
- published: 19 Feb 2009
- views: 38623
58:26
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.e...
published: 14 Jan 2013
R11. Principles of Algorithm Design
R11. Principles of Algorithm Design
- Report rights infringement
- published: 14 Jan 2013
- views: 24854
33:33
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer ...
published: 31 Mar 2012
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming
- Report rights infringement
- published: 31 Mar 2012
- views: 551808
4:50
Programming Algorithms: How To Learn Algorithms?
LIMITED TIME - Get The Complete Software Developer's Career Guide for just $0.99 https://s...
published: 30 Dec 2016
Programming Algorithms: How To Learn Algorithms?
Programming Algorithms: How To Learn Algorithms?
- Report rights infringement
- published: 30 Dec 2016
- views: 32480
32:49
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an ...
published: 06 May 2016
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
- Report rights infringement
- published: 06 May 2016
- views: 2608
16:16
Solving Programming Problems
Ge the Code Here: http://goo.gl/R6R1F
To finish off my Java Algorithm tutorial, I thought...
published: 05 Apr 2013
Solving Programming Problems
Solving Programming Problems
- Report rights infringement
- published: 05 Apr 2013
- views: 107420
1:07:28
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science.
In ...
published: 12 May 2016
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
- Report rights infringement
- published: 12 May 2016
- views: 40440
59:33
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials a...
published: 06 Oct 2016
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
- Report rights infringement
- published: 06 Oct 2016
- views: 19867
- Playlist
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58:26
R11. Principles of Algorithm Design
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.e...
published: 14 Jan 2013
R11. Principles of Algorithm Design
R11. Principles of Algorithm Design
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- published: 14 Jan 2013
- views: 24854
33:33
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer ...
published: 31 Mar 2012
Concepts of Algorithm, Flow Chart & C Programming
Concepts of Algorithm, Flow Chart & C Programming
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- published: 31 Mar 2012
- views: 551808
32:49
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Car safety systems are essential for the future of autonomous driving, and are already an ...
published: 06 May 2016
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
Developing Algorithms for ADAS Systems with MATLAB and Simulink - MATLAB and Simulink Racing Lounge
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- published: 06 May 2016
- views: 2608
28:05
Developing Machine Learning and Deep Learning Algorithms Using MATLAB
Free MATLAB Trial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
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published: 13 Jul 2017
Developing Machine Learning and Deep Learning Algorithms Using MATLAB
Developing Machine Learning and Deep Learning Algorithms Using MATLAB
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- published: 13 Jul 2017
- views: 67
26:15
Developing algorithms for Net2Plan: Offline Network Design algorithms
The Offline Network Design Tool assists the user in the process of offline network design ...
published: 06 Mar 2014
Developing algorithms for Net2Plan: Offline Network Design algorithms
Developing algorithms for Net2Plan: Offline Network Design algorithms
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- published: 06 Mar 2014
- views: 639
48:47
Developing Diagnostic Algorithms from Medical Data
Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC Berkeley
Sponsor: CITRIS ...
published: 20 Oct 2011
Developing Diagnostic Algorithms from Medical Data
Developing Diagnostic Algorithms from Medical Data
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- published: 20 Oct 2011
- views: 893
45:05
Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Downloa...
published: 28 Apr 2017
Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox
Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox
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- published: 28 Apr 2017
- views: 550
1:07:28
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Practical, everyday advice which will easily provoke an interest in computer science.
In ...
published: 12 May 2016
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google
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- published: 12 May 2016
- views: 40440
59:33
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
http://CppCon.org
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Presentation Slides, PDFs, Source Code and other presenter materials a...
published: 06 Oct 2016
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
CppCon 2016: Marshall Clow “STL Algorithms - why you should use them, and how to write your own"
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- published: 06 Oct 2016
- views: 19867
22:19
Developing algorithms for Net2Plan: Network Recovery algorithms for Resilience simulation
Resilience Simulation tool simulates the network operation, where failures and links and n...
published: 11 Mar 2014
Developing algorithms for Net2Plan: Network Recovery algorithms for Resilience simulation
Developing algorithms for Net2Plan: Network Recovery algorithms for Resilience simulation
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- published: 11 Mar 2014
- views: 608
R11. Principles of Algorithm Design...
Concepts of Algorithm, Flow Chart & C Programming...
Developing Algorithms for ADAS Systems with MATLAB...
Developing Machine Learning and Deep Learning Algo...
Developing algorithms for Net2Plan: Offline Networ...
Developing Diagnostic Algorithms from Medical Data...
Developing Robotics Applications with MATLAB, Simu...
Brian Christian & Tom Griffiths: "Algorithms to Li...
CppCon 2016: Marshall Clow “STL Algorithms - why y...
Developing algorithms for Net2Plan: Network Recove...
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As U.S. begins military exercises, North Korea warns of war
Edit Indonesia News 21 Aug 2017
PYONGYANG, North Korea - Responding to the joint U.S.-South Korean military exercises set to start on the Korean peninsula on Monday - North Korea has fired another warning at America. In an ... ....
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Beware the Women of ISIS: There Are Many, and They May Be More Dangerous Than ...
Edit The Daily Beast 21 Aug 2017
This report from the International Center for the Study of Violent Extremism raises frightening questions about women returning from the ‘caliphate’—if they can return at all. Ardian Shajkovci. Editor’s Note. As police tracked down the members of the cell that brought terror to Spain on Thursday, the names that surfaced were once again, predictably, all men, and mostly young ones. That’s the classic pattern with jihadis ... Thank You! ... ....
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10 sailors missing after US destroyer collision off Singapore
Edit The Manila Times 21 Aug 2017
SINGAPORE. A rescue operation is under way for 10 sailors missing after a US destroyer collided with a tanker east of Singapore on Monday, in the second accident involving an American warship in two months. Guided-missile destroyer USS John S. McCain collided with the merchant vessel Alnic MC east of Singapore and near the Straits of Malacca in the early hours, the US Navy said a statement. “Initial reports indicate John S ... AFP ... ....
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Police uncover gas arsenal at bomb factory as Barcelona mourns
Edit Vietnam News 21 Aug 2017
Spanish police said on Sunday they had uncovered a cache of 120 gas canisters at a house believed to be the bomb-making factory of suspects in terror attacks that claimed 14 lives, as Barcelona mourned victims of the rampage ... ....
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Neymar slams Barcelona bosses after scoring brace in PSG home debut
Edit Hindustan Times 21 Aug 2017
Paris Saint-Germain’s world record signing Neymar launched a scathing attack on his former club’s directors, saying “Barca deserve much better”. The people in charge at the Catalan giants “are not the people who should be there, for the direction of Barca,” Neymar told reporters after scoring twice on his home debut as PSG thumped Toulouse 6-2 in Ligue 1 on Sunday ... At the start, I was happy ... READ ... ....
Op-ed: BRICS mechanism opens up new prospects for South-South cooperation
Edit People Daily 21 Aug 2017
The BRICS New Development Bank (NDB) launched its Africa Regional Center in Johannesburg on Thursday, with South African President Jacob Zuma presiding over the proceedings. Zuma hailed the launch as a historic moment that underlined the BRICS’ commitment to the development of the African continent ... The NDB facilitates the common development of BRICS member countries....
China launches international center to push sustainable development
Edit China Daily 21 Aug 2017
China on Monday called for greater international effort and more coordination among governments to push sustainable development. The country has launched the Center for International Knowledge on Development (CIKD), which is mandated ......
Mobile Game Development in Dubai
Edit The Petition Site 21 Aug 2017
The Mobile Game Development Companies in Abu Dhabi, Sharjah, UAE, Middle East, Dubai can assist you to grow you business to a sky high level. If you are searching excellent assistance for your app development, then Brillmindz is the one stop solution which provides best services at an affordable price....
9mobile to Empower Software Developers, SMEs
Edit This Day 21 Aug 2017
9mobile has partnered Africa’s Talking, a Pan-African company, to empower software solutions developers and small and medium-scale enterprises (SMEs) with access to telecommunication infrastructure through mobile communication Application Programming Interfaces (APIs) ... developers and small businesses as they build viable and scalable businesses....
Android Application Development companies in kuwait
Edit The Petition Site 21 Aug 2017
Therefore planning to develop an app for your business development is a wise idea ... one of the leading brands among Android Application Development companies in kuwait....
Basalt council tipped its hand on property’s future
Edit Aspen Times 21 Aug 2017
The Basalt Town Council owes its citizens a commitment to seriously consider Lowe's development proposal for the Pan and Fork property ... Viewed objectively, this is an extreme position that is not in line with the closely divided community positions of park versus development, as evidenced by the close votes defeating the town's proposed purchase of the Community Development Corp....
Birmingham developer completes £470m London property deal
Edit The Business Desk 21 Aug 2017
Developer St. Modwen has completed the sale of its interest in a major London residential development ... The wider 57-acre redevelopment of the area brings together different developers who plan to build up to 20,000 homes. The Nine Elms Square development had been for sale since last August with a deal to an unnamed Chinese investor reported to have fallen through in March....
China to continue efforts to implement UN 2030 Agenda: President Xi
Edit People Daily 21 Aug 2017
President Xi Jinping said China will continue its efforts to implement the 2030 Agenda for Sustainable Development and promote national development in a more efficient, fair, and sustainable way ... on development theory and practice....
Some predictions on where real estate sector is heading post-RERA
Edit Moneycontrol 21 Aug 2017
Several Development Authorities and House Boards undertake residential development ... 10 actions that can make developers live long and prosper in a post-RERA world ... Here is a quick summary of the key developments by the deadline date and their impact going forward ... There was a rush by developers for securing CC with the hope that some of their projects can get exempted....
JCSC chairman visits NESCOM
Edit The News International 21 Aug 2017
Expressing satisfaction over the development and progress of various strategic systems and capabilities, the chairman JCS Committee lauded the efforts of scientists and engineers involved in the development programmes....
Teachers to be enabledempowered as change agents
Edit The News International 21 Aug 2017
The activity that brought a sharp focus on the importance of schools and teachers as change agents for promoting child health, development and well being was organized at Government Girls Higher Secondary School in Kallar Syedan. The role of teachers can hardly be denied in social and emotional development of the child and many mental health problems can be identified earlier on by the teachers, said Dr....
WHO School Mental Health Programme to empower teachers, schools as change agents
Edit The News International 21 Aug 2017
The activity that brought a sharp focus on the importance of schools and teachers as change agents for promoting child health, development and well being was organized at Government Girls Higher Secondary School in Kallar Syedan. The role of teachers can hardly be denied in social and emotional development of the child and many mental health problems can be identified earlier on by the teachers, said Dr....
Land sales, new development remain sluggish in Grand County
Edit Sky-Hi News 21 Aug 2017
The housing market in Grand County has been tightening for several years with rising rents, rebounding home prices and shortages in many areas, but as local residents continue to wrestle with these systemic forces, new housing developments on open land are few and far between and new affordable housing even more scarce ... "We are not seeing any development pressure yet," Gutersohn said....
Uplift projects fast-tracked in PM’s constituency
Edit Dawn 21 Aug 2017
After he became prime minister, Shahid Khaqan Abbasi’s constituency of NA-50 (Rawalpindi-I) has become a priority for the district and divisional administration in the allocation of development schemes. Before this, the district and divisional administration focused more on development works in NA-52, the constituency of former interior minister Chaudhry Nisar Ali Khan....
Balwin and Transcend join forces on R6.4bn apartment project
Edit Business Day 21 Aug 2017
Sectional title developer Balwin Properties and listed residential fund Transcend announced an alliance on Monday to develop 8,900 rental apartments worth about R6.4bn over the next six years ... Transcend’s intention is to participate in all five developments, although they will be treated and reviewed independently. Balwin Properties CEO Steve Brookes said the developments would add better quality stock to the rental housing market....
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