Lecture Slides

Aid Materials

Assignments

0.      Outline

1.      The Elements of Statistical Learning

2.      Linear Algebra Review

3.      Probability Review

TAKE-HOME EXAM

1. Introduction

         Ethemís Slides (modified)

2. Concept Learning

         Ethemís Slides (modified)

3. Decision Tree Learning

4. Artificial Neural Networks

5. Evaluating Hypotheses

6. Bayesian Learning

7. Computational Learning Theory

8. Instance Based Learning

9. Genetic Algorithms

10. Learning Sets of Rules

Not Available

11. Analytical Learning

Not Available

12. Combining Inductive and Analytical Learning

Not Available

13. Reinforcement Learning