3.5c: Calculus: Partial Derivative - Intelligence and Learning - vTomb
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This video is the third (and final, for now) in a short series on calculus concepts as background for the Gradient Descent algorithm. This video covers the concept of a "partial derivative".

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)

Videos on Calculus:
Power Rule: https://youtu.be/IKb_3FJtA1U

Answer to the question at the end of the video:
∂z/∂y = 2x + 3y^2 + 9x^2

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To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/

Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics

Contact:
The Coding Train website: http://thecodingtrain.com/

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/
Linear Regression on Wikipedia: https://en.wikipedia.org/wiki/Linear_regression

Book discussed in this video:

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

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

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