Introduction
1. Ordinary Linear Regression
2. Linear Regression Extensions
3. Discriminative Classifiers (Logistic Regression)
4. Generative Classifiers (Naive Bayes)
5. Decision Trees
6. Tree Ensemble Methods
7. Neural Networks
Appendix
