3.5: Mathematics of Gradient Descent – Intelligence and Learning

In this video, I explain the mathematics behind Linear Regression with Gradient Descent, which was the topic of my previous machine learning video (https://youtu.be/L-Lsfu4ab74)

This video is part of session 3 of my Spring 2017 ITP “Intelligence and Learning” course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression)

3Blue1Brown’s Essence of Calculus: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

My videos on calculus:
Power Rule: https://youtu.be/IKb_3FJtA1U
Chain Rule: https://youtu.be/cE6wr0_ad8Y
Partial Derivative: https://youtu.be/-WVBXXV81R4

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To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/
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Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics

Contact:
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Links discussed in this video:
Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression
3Blue1Brown’s Essence of Calculus: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

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

p5.js: https://p5js.org/
Processing: https://processing.org

For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
For More Intelligence and Learning: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX

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