• 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
  • Intro to Algorithms: Crash Course Computer Science #13

    Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ CORRECTION: In the pseudocode for selection sort at 3:09, this line: swap array items at index and smallest should be: swap array items at i...

    published: 24 May 2017
  • 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
  • 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
  • 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
  • Algorithm using Flowchart and Pseudo code Level 1 Flowchart

    Algorithm using Flowchart and Pseudo code Level 1 Flowchart By: Yusuf Shakeel http://www.dyclassroom.com/flowchart/introduction 0:05 Things we will learn 0:21 Level 0:28 Level 1 Flowchart 0:33 Important terms 0:37 Procedure 0:45 Algorithm 0:54 Flowchart 1:00 Pseudo code 1:08 Answer this simple question 1:14 How will you log into your facebook account 1:30 Next question 1:32 Write an algorithm to log into your facebook account 1:44 Algorithm to log in to facebook account in simple English 2:06 Writing Algorithm 2:14 Flowchart 2:16 There are 6 basic symbols that are commonly used in Flowchart 2:20 Terminal 2:27 Input/Output 2:35 Process 2:42 Decision 2:52 Connector 3:00 Control Flow 3:06 All the 6 symbols 3:13 Flowchart rules 3:25 Flowchart exercise 3:28 Add 10 and 20 4:00 Another exerci...

    published: 27 Aug 2013
  • Hello World - Machine Learning Recipes #1

    Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03

    published: 30 Mar 2016
  • developing algorithms overview matlab video demonstration

    published: 28 Aug 2009
  • 5 tips to improve your critical thinking - Samantha Agoos

    View full lesson: http://ed.ted.com/lessons/5-tips-to-improve-your-critical-thinking-samantha-agoos Every day, a sea of decisions stretches before us, and it’s impossible to make a perfect choice every time. But there are many ways to improve our chances — and one particularly effective technique is critical thinking. Samantha Agoos describes a 5-step process that may help you with any number of problems. Lesson by Samantha Agoos, animation by Nick Hilditch.

    published: 15 Mar 2016
  • Programming Algorithms: Learning Algorithms (Once And For All!)

    Programming Algorithms: How To Learn Algorithms? ► FREE COURSE - 5 Learning Mistakes Software Developers Make ◄ https://simpleprogrammer.com/learn-faster 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 Programming Algor...

    published: 30 Dec 2016
  • Google's DeepMind AI just taught itself to walk

    Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy. Read more: http://www.businessinsider.com/sai FACEBOOK: https://www.facebook.com/techinsider TWITTER: https://twitter.com/techinsider INSTAGRAM: https://www.instagram.com/businessinsider/ TUMBLR: http://businessinsider.tumblr.com/

    published: 12 Jul 2017
  • 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
  • 2 Developing Algorithms for Solving Convex Optimization Problems

    published: 18 Jan 2017
  • MATLAB Tutorial 06 Developing Algorithms

    published: 31 Aug 2016
  • 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 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
  • 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
  • Artificial Intelligence: Machine Learning Introduction

    Hello Bayesian Ninjas! A general introduction of machine learning algorithms! happy hunting! The white noise tutorial part was made entirely in MATLAB!

    published: 27 Jul 2013
  • CppCon 2015: Michael VanLoon “STL Algorithms in Action ”

    http://www.Cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015 — This will be an entertaining trip through the STL algorithms, where we will view many of them in their natural habitats, going about their natural algorithm business. Then we will take some of them out of their native environments and make them do tricks that are entirely unexpected. In the end, you will gain a new appreciation for what the algorithms are and how pervasively they can be used throughout your code. — I have been developing software for over 30 years. Yes, I started before I was born. I have been doing C++ for over 20 years, not very well at first, and slightly better now. I work at F5 Networks, and have worked at Disney, VMwa...

    published: 16 Oct 2015
  • 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
  • TU Delft - Meet our alumni - Jonas: developing algorithms to fight breast cancer

    In high school Jonas Teuwen (alumnus TU Delft) was terrible at math. But he ultimately graduated in Mathematics at TU Delft. His fascination came from the drive to understand. Jonas now develops techniques which automatically read the scans of mammographies, to make screening a lot more efficient and faster. And hopefully recognize earlier stages of breast cancer. His advice to PhD students: go beyond the boundaries of your own lab and research, invest in your personal and professional network.

    published: 06 Jul 2017
  • Developing Algorithms H 264 360p] (1)

    published: 02 Oct 2013
developed with YouTube
What's an algorithm? - David J. Malan

What's an algorithm? - David J. Malan

  • Order:
  • Duration: 4:58
  • Updated: 20 May 2013
  • views: 773643
videos
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
Intro to Algorithms: Crash Course Computer Science #13

Intro to Algorithms: Crash Course Computer Science #13

  • Order:
  • Duration: 11:44
  • Updated: 24 May 2017
  • views: 254806
videos
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ CORRECTION: In the pseudocode for selection sort at 3:09, this line: swap array items at index and smallest should be: swap array items at i and smallest Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list... Want to find Crash Course elsewhere on the internet? Facebook - https://www.facebook.com/YouTubeCrash... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
https://wn.com/Intro_To_Algorithms_Crash_Course_Computer_Science_13
Algorithm Building Method

Algorithm Building Method

  • Order:
  • Duration: 7:29
  • Updated: 19 May 2013
  • views: 15513
videos
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
Developing Algorithms (Previous Release)

Developing Algorithms (Previous Release)

  • Order:
  • Duration: 6:31
  • Updated: 19 Feb 2009
  • views: 38845
videos
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)
R11. Principles of Algorithm Design

R11. Principles of Algorithm Design

  • Order:
  • Duration: 58:26
  • Updated: 14 Jan 2013
  • views: 28587
videos
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
Concepts of Algorithm, Flow Chart & C Programming

Concepts of Algorithm, Flow Chart & C Programming

  • Order:
  • Duration: 33:33
  • Updated: 31 Mar 2012
  • views: 698204
videos
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
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

  • Order:
  • Duration: 32:49
  • Updated: 06 May 2016
  • views: 3817
videos
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
Algorithm using Flowchart and Pseudo code Level 1 Flowchart

Algorithm using Flowchart and Pseudo code Level 1 Flowchart

  • Order:
  • Duration: 5:41
  • Updated: 27 Aug 2013
  • views: 394438
videos
Algorithm using Flowchart and Pseudo code Level 1 Flowchart By: Yusuf Shakeel http://www.dyclassroom.com/flowchart/introduction 0:05 Things we will learn 0:21 Level 0:28 Level 1 Flowchart 0:33 Important terms 0:37 Procedure 0:45 Algorithm 0:54 Flowchart 1:00 Pseudo code 1:08 Answer this simple question 1:14 How will you log into your facebook account 1:30 Next question 1:32 Write an algorithm to log into your facebook account 1:44 Algorithm to log in to facebook account in simple English 2:06 Writing Algorithm 2:14 Flowchart 2:16 There are 6 basic symbols that are commonly used in Flowchart 2:20 Terminal 2:27 Input/Output 2:35 Process 2:42 Decision 2:52 Connector 3:00 Control Flow 3:06 All the 6 symbols 3:13 Flowchart rules 3:25 Flowchart exercise 3:28 Add 10 and 20 4:00 Another exercise 4:03 Find the sum of 5 numbers 4:34 Another exercise 4:35 Print Hello World 10 times 5:06 Another exercise 5:07 Draw a flowchart to log in to facebook account 5:26 Note! End of Level 1 Related Videos Algorithm Flowchart and Pseudo code Level 1 Flowchart http://youtu.be/vOEN65nm4YU Level 2 Important Programming Concepts http://youtu.be/kwA3M8YxNk4 Level 3 Pseudo code http://youtu.be/r1BpraNa2Zc
https://wn.com/Algorithm_Using_Flowchart_And_Pseudo_Code_Level_1_Flowchart
Hello World - Machine Learning Recipes #1

Hello World - Machine Learning Recipes #1

  • Order:
  • Duration: 6:53
  • Updated: 30 Mar 2016
  • views: 1083856
videos
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03
https://wn.com/Hello_World_Machine_Learning_Recipes_1
developing algorithms overview matlab video demonstration

developing algorithms overview matlab video demonstration

  • Order:
  • Duration: 6:12
  • Updated: 28 Aug 2009
  • views: 729
videos
https://wn.com/Developing_Algorithms_Overview_Matlab_Video_Demonstration
5 tips to improve your critical thinking - Samantha Agoos

5 tips to improve your critical thinking - Samantha Agoos

  • Order:
  • Duration: 4:30
  • Updated: 15 Mar 2016
  • views: 3071289
videos
View full lesson: http://ed.ted.com/lessons/5-tips-to-improve-your-critical-thinking-samantha-agoos Every day, a sea of decisions stretches before us, and it’s impossible to make a perfect choice every time. But there are many ways to improve our chances — and one particularly effective technique is critical thinking. Samantha Agoos describes a 5-step process that may help you with any number of problems. Lesson by Samantha Agoos, animation by Nick Hilditch.
https://wn.com/5_Tips_To_Improve_Your_Critical_Thinking_Samantha_Agoos
Programming Algorithms: Learning Algorithms (Once And For All!)

Programming Algorithms: Learning Algorithms (Once And For All!)

  • Order:
  • Duration: 4:50
  • Updated: 30 Dec 2016
  • views: 54247
videos
Programming Algorithms: How To Learn Algorithms? ► FREE COURSE - 5 Learning Mistakes Software Developers Make ◄ https://simpleprogrammer.com/learn-faster 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 Programming Algorithms: How To Learn Algorithms? Recently, I did a video about programming algorithms and whether it was a good idea to learn it or not. I see a lot of programmers making much noise about programming 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. Programming Algorithms perform calculation, data processing, and/or automated reasoning tasks. "A programming algorithm is a set of instructions designed to perform a specific task. This can be a simple process, such as multiplying two numbers, or a complex operation, such as playing a compressed video file. Search engines use proprietary algorithms to display the most relevant results from their search index for specific queries. In computer programming, algorithms are often created as functions. These functions serve as small programs that can be referenced by a larger program. For example, an image viewing application may include a library of functions that each use a custom algorithm to render different image file formats. An image editing program may contain algorithms designed to process image data. Examples of image processing algorithms include cropping, resizing, sharpening, blurring, red-eye reduction, and color enhancement." (Source: https://techterms.com/definition/algorithm) 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 #computerscience #learningalgorithms
https://wn.com/Programming_Algorithms_Learning_Algorithms_(Once_And_For_All_)
Google's DeepMind AI just taught itself to walk

Google's DeepMind AI just taught itself to walk

  • Order:
  • Duration: 1:51
  • Updated: 12 Jul 2017
  • views: 4968742
videos
Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy. Read more: http://www.businessinsider.com/sai FACEBOOK: https://www.facebook.com/techinsider TWITTER: https://twitter.com/techinsider INSTAGRAM: https://www.instagram.com/businessinsider/ TUMBLR: http://businessinsider.tumblr.com/
https://wn.com/Google's_Deepmind_Ai_Just_Taught_Itself_To_Walk
Developing Machine Learning and Deep Learning Algorithms Using MATLAB

Developing Machine Learning and Deep Learning Algorithms Using MATLAB

  • Order:
  • Duration: 28:05
  • Updated: 13 Jul 2017
  • views: 1628
videos
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
2   Developing Algorithms for Solving Convex Optimization Problems

2 Developing Algorithms for Solving Convex Optimization Problems

  • Order:
  • Duration: 4:02
  • Updated: 18 Jan 2017
  • views: 961
videos
https://wn.com/2_Developing_Algorithms_For_Solving_Convex_Optimization_Problems
MATLAB Tutorial   06 Developing Algorithms

MATLAB Tutorial 06 Developing Algorithms

  • Order:
  • Duration: 6:12
  • Updated: 31 Aug 2016
  • views: 36
videos
https://wn.com/Matlab_Tutorial_06_Developing_Algorithms
Hash Algorithms - Web Development

Hash Algorithms - Web Development

  • Order:
  • Duration: 3:55
  • Updated: 23 Feb 2015
  • views: 649
videos
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
Developing Algorithms-Teaser Video

Developing Algorithms-Teaser Video

  • Order:
  • Duration: 1:49
  • Updated: 09 Nov 2013
  • views: 230
videos
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
Developing Training Algorithms for Convolutional Neural Networks

Developing Training Algorithms for Convolutional Neural Networks

  • Order:
  • Duration: 10:07
  • Updated: 05 Nov 2013
  • views: 4865
videos
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
Artificial Intelligence: Machine Learning Introduction

Artificial Intelligence: Machine Learning Introduction

  • Order:
  • Duration: 18:53
  • Updated: 27 Jul 2013
  • views: 208237
videos
Hello Bayesian Ninjas! A general introduction of machine learning algorithms! happy hunting! The white noise tutorial part was made entirely in MATLAB!
https://wn.com/Artificial_Intelligence_Machine_Learning_Introduction
CppCon 2015: Michael VanLoon “STL Algorithms in Action ”

CppCon 2015: Michael VanLoon “STL Algorithms in Action ”

  • Order:
  • Duration: 1:01:52
  • Updated: 16 Oct 2015
  • views: 11791
videos
http://www.Cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015 — This will be an entertaining trip through the STL algorithms, where we will view many of them in their natural habitats, going about their natural algorithm business. Then we will take some of them out of their native environments and make them do tricks that are entirely unexpected. In the end, you will gain a new appreciation for what the algorithms are and how pervasively they can be used throughout your code. — I have been developing software for over 30 years. Yes, I started before I was born. I have been doing C++ for over 20 years, not very well at first, and slightly better now. I work at F5 Networks, and have worked at Disney, VMware, Yahoo!, and Microsoft, among many others. I have benefited from a wide range of experience and personalities. I have a personal grudge against code that does not strive to reach a high standard. I am dismayed at code that does not reach its potential. And I firmly believe that writing code well creates a better, more stable, more maintainable product. — Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
https://wn.com/Cppcon_2015_Michael_Vanloon_“Stl_Algorithms_In_Action_”
Developing algorithms for Net2Plan: Offline Network Design algorithms

Developing algorithms for Net2Plan: Offline Network Design algorithms

  • Order:
  • Duration: 26:15
  • Updated: 06 Mar 2014
  • views: 763
videos
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
TU Delft - Meet our alumni - Jonas: developing algorithms to fight breast cancer

TU Delft - Meet our alumni - Jonas: developing algorithms to fight breast cancer

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  • Duration: 4:10
  • Updated: 06 Jul 2017
  • views: 819
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In high school Jonas Teuwen (alumnus TU Delft) was terrible at math. But he ultimately graduated in Mathematics at TU Delft. His fascination came from the drive to understand. Jonas now develops techniques which automatically read the scans of mammographies, to make screening a lot more efficient and faster. And hopefully recognize earlier stages of breast cancer. His advice to PhD students: go beyond the boundaries of your own lab and research, invest in your personal and professional network.
https://wn.com/Tu_Delft_Meet_Our_Alumni_Jonas_Developing_Algorithms_To_Fight_Breast_Cancer
Developing Algorithms H 264 360p] (1)

Developing Algorithms H 264 360p] (1)

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  • Duration: 6:31
  • Updated: 02 Oct 2013
  • views: 44
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https://wn.com/Developing_Algorithms_H_264_360P_(1)
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