Introduction

Linear Methods for Regression

Linear Methods for Classification

Generalized Linear Discriminant Function & Kernel Methods

Lagrange Multipliers and the Karush-Kuhn-Trucker conditions

Decision Tree

Bayesian Decision Theory

Artificial Neural Network & Deep Learning

Practical Topics in Deep Learning

Combining Models (Ensemble Methods)

K Nearest Neighbor Classifier & Metric Learning

Clustering

Supplement

Dimensionality Reduction

Reinforcement Learning

Review