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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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

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Processing: https://processing.org

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