Day 9 of self-studying ML — entropy, cross-entropy, and logistic regression notes [D]
new set of notes up, covering entropy and information theory then working through KL divergence and cross entropy, ending with why logistic regression's loss function is called cross entropy loss in the first place the c
![Day 9 of self-studying ML — entropy, cross-entropy, and logistic regression notes [D]](https://preview.redd.it/wn6r84l7okgh1.jpg?width=140&height=140&crop=1:1,smart&auto=webp&s=021da52e4d6a491bf1cae1cd37f2a18cbb826097)
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