Chapter 1:
4 Logistic Regression.
Chapter 2:
7 Linear Perceptron.
Chapter 3:
2 Clustering.
Chapter 4:
3 Geometric Knn.
Chapter 5:
10 Backpropagation.
Chapter 6:
5 Naive Bayes Classifier.
Chapter 7:
1 Classification Evaluation.
Chapter 8:
8 Neural Network.
Chapter 9:
6 Gradient Descent.
Chapter 10:
9 Regularization.