• 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
  • 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
  • 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
  • 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?

    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 How To Learn Algorithms? Recently, I did a video about algorithms and ...

    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
  • 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
  • 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
  • Programming Basics: Creating an algorithm/flowchart and then adding a counter.

    via YouTube Capture

    published: 15 Feb 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
  • 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
  • The Big Bang Theory - The Friendship Algorithm

    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)

    published: 20 Jan 2009
  • Developing Algorithms H 264 360p] (1)

    published: 02 Oct 2013
  • Creating a Customized Predictive Algorithm for Your Data

    In this short video, I will show you how a customized predictive algorithm can be developed to help you understand your company's data. For more examples see my website www.jeremyroseberry.com What makes this process unique is the software that I use to develop the algorithm. I have 15 years of experience designing and engineering algorithms that predict the short-term direction of the stock market. The stock market is a notoriously difficult dataset to work with. I am fortunate, after a lot of work, to have some meaningful success with stock market data and I am applying all the lessons I have learned developing algorithms for the stock market, to more traditional corporate datasets. I am designing these algorithms within my trading platform MultiCharts. Within this platform, I h...

    published: 16 Nov 2015
  • Build a Neural Net in 4 Minutes

    code for this: https://github.com/stmorgan/pythonNNexample I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Please Subscribe! That is the thing you could do that would make me happiest. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 2 Great Neural Net Tutorials: (please subscribe for more videos like these! ) 1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f 2. https://iamtrask.github.io/2015/07/12/basic-python-network/ Awesome Tutorial Series on Neural Networks: http://lumiverse.io/series/neural-networks-demystified The Canonical Machine Learning Course: https://...

    published: 04 Apr 2016
  • 9.1: Genetic Algorithm: Introduction - The Nature of Code

    Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: The Nature of Code: http://natureofcode.com/ BoxCar2D: http://boxcar2d.com/ Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Genetic Algorithm videos: https://www.youtube.com/playlist?...

    published: 29 Jul 2016
  • O'Reilly Webcast: How to Develop Language Annotations for Machine Learning Algorithms

    Text-based data mining and information extraction systems that make use of machine learning techniques require annotated datasets for training the algorithms. In this webcast presented by James Pustejovsky and Amber Stubbs, we will discuss the steps involved in creating your own training corpus for such machine learning algorithms. We walk you through: The annotation cycle Selecting an annotation task Creating the annotation specification Designing the guidelines Creating a "gold standard" corpus Beginning the actual data creation with the annotation process We then mention the most relevant machine learning algorithms for natural language data and tasks, and provide hints for how to choose the right one for your learning task and your own dataset. Finally, we di...

    published: 19 Oct 2012
  • 2 Developing Algorithms for Solving Convex Optimization Problems

    published: 18 Jan 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
  • 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 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
  • 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
  • MATLAB Tutorial 06 Developing Algorithms

    published: 31 Aug 2016
  • Develop algorithm with maps in ResearchMaker

    published: 20 Oct 2016
  • MATLAB Tutorial 06 Developing Algorithms

    published: 31 Aug 2016
  • MATLAB Tutorial 6/100 Developing Algorithms

    Developing Algorithms

    published: 15 Feb 2016
  • 2 Developing Algorithms for Solving Convex Optimization Problems

    published: 18 Jan 2017
  • Sony develops algorithm based AI music

    published: 17 Oct 2016
developed with YouTube
Algorithm Building Method

Algorithm Building Method

  • Order:
  • Duration: 7:29
  • Updated: 19 May 2013
  • views: 14169
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
What's an algorithm? - David J. Malan

What's an algorithm? - David J. Malan

  • Order:
  • Duration: 4:58
  • Updated: 20 May 2013
  • views: 678871
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
R11. Principles of Algorithm Design

R11. Principles of Algorithm Design

  • Order:
  • Duration: 58:26
  • Updated: 14 Jan 2013
  • views: 26555
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
Developing Algorithms (Previous Release)

Developing Algorithms (Previous Release)

  • Order:
  • Duration: 6:31
  • Updated: 19 Feb 2009
  • views: 38732
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)
Concepts of Algorithm, Flow Chart & C Programming

Concepts of Algorithm, Flow Chart & C Programming

  • Order:
  • Duration: 33:33
  • Updated: 31 Mar 2012
  • views: 614649
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
Programming Algorithms: How To Learn Algorithms?

Programming Algorithms: How To Learn Algorithms?

  • Order:
  • Duration: 4:50
  • Updated: 30 Dec 2016
  • views: 42979
videos
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 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
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: 3073
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
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: 2807881
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
Hello World - Machine Learning Recipes #1

Hello World - Machine Learning Recipes #1

  • Order:
  • Duration: 6:53
  • Updated: 30 Mar 2016
  • views: 910157
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
Programming Basics: Creating an algorithm/flowchart and then adding a counter.

Programming Basics: Creating an algorithm/flowchart and then adding a counter.

  • Order:
  • Duration: 11:34
  • Updated: 15 Feb 2016
  • views: 42930
videos
via YouTube Capture
https://wn.com/Programming_Basics_Creating_An_Algorithm_Flowchart_And_Then_Adding_A_Counter.
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: 803
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
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google

Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google

  • Order:
  • Duration: 1:07:28
  • Updated: 12 May 2016
  • views: 44425
videos
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
The Big Bang Theory - The Friendship Algorithm

The Big Bang Theory - The Friendship Algorithm

  • Order:
  • Duration: 2:28
  • Updated: 20 Jan 2009
  • views: 3217986
videos
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
Developing Algorithms H 264 360p] (1)

Developing Algorithms H 264 360p] (1)

  • Order:
  • Duration: 6:31
  • Updated: 02 Oct 2013
  • views: 43
videos
https://wn.com/Developing_Algorithms_H_264_360P_(1)
Creating a Customized Predictive Algorithm for Your Data

Creating a Customized Predictive Algorithm for Your Data

  • Order:
  • Duration: 10:41
  • Updated: 16 Nov 2015
  • views: 1771
videos
In this short video, I will show you how a customized predictive algorithm can be developed to help you understand your company's data. For more examples see my website www.jeremyroseberry.com What makes this process unique is the software that I use to develop the algorithm. I have 15 years of experience designing and engineering algorithms that predict the short-term direction of the stock market. The stock market is a notoriously difficult dataset to work with. I am fortunate, after a lot of work, to have some meaningful success with stock market data and I am applying all the lessons I have learned developing algorithms for the stock market, to more traditional corporate datasets. I am designing these algorithms within my trading platform MultiCharts. Within this platform, I have the ability to create customized solutions by programming predictive algorithms that are unique to your own specific datasets. The capabilities I have within my trading platform far exceed what can be done within more traditional programs like Excel, Octave or R. Check out the video. I hope you enjoy!
https://wn.com/Creating_A_Customized_Predictive_Algorithm_For_Your_Data
Build a Neural Net in 4 Minutes

Build a Neural Net in 4 Minutes

  • Order:
  • Duration: 3:27
  • Updated: 04 Apr 2016
  • views: 305079
videos
code for this: https://github.com/stmorgan/pythonNNexample I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Please Subscribe! That is the thing you could do that would make me happiest. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 2 Great Neural Net Tutorials: (please subscribe for more videos like these! ) 1. https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1#.l51z38s7f 2. https://iamtrask.github.io/2015/07/12/basic-python-network/ Awesome Tutorial Series on Neural Networks: http://lumiverse.io/series/neural-networks-demystified The Canonical Machine Learning Course: https://www.coursera.org/learn/machine-learning Curious just how inspired neural networks are from brain architecture? Take some time to learn about the human brain! This is my favorite intro to neuroscience course: https://www.mcb80x.org/
https://wn.com/Build_A_Neural_Net_In_4_Minutes
9.1: Genetic Algorithm: Introduction - The Nature of Code

9.1: Genetic Algorithm: Introduction - The Nature of Code

  • Order:
  • Duration: 12:17
  • Updated: 29 Jul 2016
  • views: 96804
videos
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: The Nature of Code: http://natureofcode.com/ BoxCar2D: http://boxcar2d.com/ Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Genetic Algorithm videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV For More Nature of Code videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aFlwukCmDf0-1-uSR7mklK Help us caption & translate this video! http://amara.org/v/Sld6/
https://wn.com/9.1_Genetic_Algorithm_Introduction_The_Nature_Of_Code
O'Reilly Webcast: How to Develop Language Annotations for Machine Learning Algorithms

O'Reilly Webcast: How to Develop Language Annotations for Machine Learning Algorithms

  • Order:
  • Duration: 1:27:32
  • Updated: 19 Oct 2012
  • views: 2057
videos
Text-based data mining and information extraction systems that make use of machine learning techniques require annotated datasets for training the algorithms. In this webcast presented by James Pustejovsky and Amber Stubbs, we will discuss the steps involved in creating your own training corpus for such machine learning algorithms. We walk you through: The annotation cycle Selecting an annotation task Creating the annotation specification Designing the guidelines Creating a "gold standard" corpus Beginning the actual data creation with the annotation process We then mention the most relevant machine learning algorithms for natural language data and tasks, and provide hints for how to choose the right one for your learning task and your own dataset. Finally, we discuss testing and evaluation of the algorithm, along with suggestions for how to revise your system depending on the resulting performance. This is a unique, up-close, step-by-step look at the entire development cycle for NLP system design, from your initial idea, to spec, through annotation and corpus development, to training and testing your algorithm. Don't miss this informative webcast. About James Pustejovsky James Pustejovsky holds the TJX/Felberg Chair in Computer Science at Brandeis University, where he directs the Lab for Linguistics and Computation, and chairs both the Program in Language and Linguistics and the Computational Linguistics MA Program. He has conducted research in computational linguistics, AI, lexical semantics, temporal reasoning, and corpus linguistics and language annotation. He is currently head of a working group within ISO/TC37/SC4 to develop a Semantic Annotation Framework, and is the author of the recently approved ISO specification for time annotation (SemAF-Time, ISO-TimeML) and the draft specification for space annotation (SemAF-Space, ISO-Space). Pustejovsky was PI of a large NSF-funded effort, "Towards a Comprehensive Linguistic Annotation of Language," that involved merging several diverse linguistic annotations (PropBank, NomBank, the Discourse Treebank, TimeBank, and Opinion Corpus) into a unified representation. Currently, he is Co-PI of a major project funded by the NSF to address interoperability for NLP data and tools. He has taught computational linguistics to both graduates and undergraduates for 20 years, and corpus linguistics for eight years. http://twitter.com/jamespusto About Amber Stubbs Amber Stubbs recently completed her Ph.D. in Computer Science at Brandeis University, and is currently a Postdoctoral Associate at SUNY Albany. Her dissertation focused on creating an annotation methodology to aid in extracting high-level information from natural language files, particularly biomedical texts. Her website can be found at http://pages.cs.brandeis.edu/~astubbs/ Produced by: Yasmina Greco
https://wn.com/O'Reilly_Webcast_How_To_Develop_Language_Annotations_For_Machine_Learning_Algorithms
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: 154
videos
https://wn.com/2_Developing_Algorithms_For_Solving_Convex_Optimization_Problems
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: 703
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
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: 9424
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 Diagnostic Algorithms from Medical Data

Developing Diagnostic Algorithms from Medical Data

  • Order:
  • Duration: 48:47
  • Updated: 20 Oct 2011
  • views: 936
videos
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
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: 343321
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
MATLAB Tutorial   06 Developing Algorithms

MATLAB Tutorial 06 Developing Algorithms

  • Order:
  • Duration: 6:12
  • Updated: 31 Aug 2016
  • views: 22
videos
https://wn.com/Matlab_Tutorial_06_Developing_Algorithms
Develop algorithm with maps in ResearchMaker

Develop algorithm with maps in ResearchMaker

  • Order:
  • Duration: 3:36
  • Updated: 20 Oct 2016
  • views: 2
videos
https://wn.com/Develop_Algorithm_With_Maps_In_Researchmaker
MATLAB Tutorial   06 Developing Algorithms

MATLAB Tutorial 06 Developing Algorithms

  • Order:
  • Duration: 6:12
  • Updated: 31 Aug 2016
  • views: 16
videos
https://wn.com/Matlab_Tutorial_06_Developing_Algorithms
MATLAB Tutorial 6/100 Developing Algorithms

MATLAB Tutorial 6/100 Developing Algorithms

  • Order:
  • Duration: 6:12
  • Updated: 15 Feb 2016
  • views: 5
videos
Developing Algorithms
https://wn.com/Matlab_Tutorial_6_100_Developing_Algorithms
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: 95
videos
https://wn.com/2_Developing_Algorithms_For_Solving_Convex_Optimization_Problems
Sony develops algorithm based AI music

Sony develops algorithm based AI music

  • Order:
  • Duration: 2:35
  • Updated: 17 Oct 2016
  • views: 1
videos
https://wn.com/Sony_Develops_Algorithm_Based_Ai_Music
×