mlhandbook
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(Phased out) My textbook for teaching Machine Learning
- [ ] Add definition of learning
- [ ] Better ROC/AUROC explanation (https://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it, https://stats.stackexchange.com/questions/180638/how-to-derive-the-probabilistic-interpretation-of-the-auc)
- [ ] Math output problem with Rise - [ ] Plotly in Colab - [ ] Improve polynomial and regularization code
- [ ] Gradient math proof ([source](http://www.oranlooney.com/post/ml-from-scratch-part-2-logistic-regression/)) - [x] Colors in multiclass decision boundaries
- [x] Hide useless cells - [x] Boosting - [ ] Add voting example - [ ] Move ensemble chapter to a dedicated notebook ?
- [x] Hide useless cells - [x] Universal approx theorem - [ ] SELU and leaky RELU - [ ] GD optim viz ([source](https://imgur.com/a/Hqolp#NKsFHJb)) - [ ] Backprop demo -...