Coding Train Live 94: Session 3 of “Intelligence and Learning” - Part 3

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Published on ● Video Link: https://www.youtube.com/watch?v=S6NQFDZkRMo


Duration: 2:12:44
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In this live stream, I continue my Machine Learning series, covering Linear Regression with Gradient Descent. I also discuss some concepts from calculus: the power rule, the chain rule, and partial derivatives.

This video is part of the third session of my ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning)

Edited videos:
Linear Regression with Gradient Descent: https://youtu.be/L-Lsfu4ab74
Calculus - Power Rule: https://youtu.be/IKb_3FJtA1U
Calculus - Chain Rule: https://youtu.be/cE6wr0_ad8Y
Calculus - Partial Derivative: https://youtu.be/WVBXXV81R4

Timestamps:
22:25 - Linear Regression with Gradient Descent
1:05:30 - Intro to Calculus - Power Rule
1:30:24 - Chain Rule
1:47:05 - Partial Derivative

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🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

References:
Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression
Nature of Code: http://natureofcode.com/
kwichmann's Linear Regression Diagnostics: https://kwichmann.github.io/ml_sandbox/linear_regression_diagnostics/
Craig Reynolds' Steering Behaviors: http://www.red3d.com/cwr/steer/
Siraj Raval's Youtube channel: https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
3Blue1Brown's Youtube channel: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
This.dot song: https://soundcloud.com/kristianpedersen/this-dot-feat-daniel-shiffman
Kitten song: https://soundcloud.com/lostghbear/lostghbear-podopleloff-kittens-feat-dan-shiffman

Books:
Make Your Own Neural Network: https://www.amazon.ca/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G
Calculus Made Easy: https://www.amazon.ca/Calculus-Made-Silvanus-Phillips-Thompson/dp/1456531980


Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code

Videos:
For more Intelligence and Learning videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX
For my Nature of Code videos: https://www.youtube.com/watch?v=6vX8wT1G798&list=PLRqwX-V7Uu6YVljJvFRCyRM6mmF5wMPeE&index=1
For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz

Help us caption & translate this video!

http://amara.org/v/7SDJ/

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct



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2017-06-15Coding Challenge #72: Frogger - Part 2
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2017-06-09Live Stream #96: Frogger
2017-06-0810.2: Neural Networks: Perceptron Part 1 - The Nature of Code
2017-06-053.5: Mathematics of Gradient Descent - Intelligence and Learning
2017-06-03Coding Train Live 95: End of Session 3 + Start of Session 4 of "Intelligence and Learning"
2017-05-313.4: Linear Regression with Gradient Descent - Intelligence and Learning
2017-05-303.3: Linear Regression with Ordinary Least Squares Part 2 - Intelligence and Learning
2017-05-293.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
2017-05-27Coding Train Live 94: Session 3 of “Intelligence and Learning” - Part 3
2017-05-25Coding Train Live 93: Session 3 of “Intelligence and Learning” Continued
2017-05-25ITP Spring Show 2017
2017-05-18Coding Challenge #71: Minesweeper
2017-05-17Live Stream Archive - ITP Spring Show 2017
2017-05-12Live Stream #92: Minesweeper
2017-05-11Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 3
2017-05-10Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 2
2017-05-09Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 1
2017-05-083.1: Introduction to Session 3 - What is Machine Learning?
2017-05-062.2: Exercise Ideas: Session 2 - Intelligence and Learning


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