The Chain Rule is a method for finding complex derivatives and is used all the time in Statistics and Machine Learning. This video breaks it down into its two simple pieces and shows you how they easily come together. We then use the Chain Rule to solve a common Machine Learning problem - optimizing the Residual Squared Loss Function.
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0:00 Awesome song and introduction
2:02 A super simple example
6:32 A slightly more complicated example
9:16 The Chain Rule when the relationship is not obvious
11:47 The Chain Rule for the Residual Sum of Squares
Corrections:
13:05 When the residual is negative, the pink circle should be on the left side of the y-axis. And when the residual is positive, the pink circle should be on the right side.
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