| Date | Lecture Topic | Reading | Assigned | HW Due |
|---|---|---|---|---|
| Mon, Jan 7 | Introduction | Section 1.1-1.2 | Homework 1 | |
| Wed, Jan 9 | Example: Learning to Play Games | Section 1.3-1.5 | ||
| Mon, Jan 14 | Concept Learning and Inductive Bias | Sections 2.1,2.2, and 2.7 | ||
| Wed, Jan 16 | Decision Tree Learning | Section 3.1-3.4 | ||
| Mon, Jan 21 | No class | |||
| Wed, Jan 23 | Decision Tree Learning (cont) | Sections 3.5-3.7 | Homework 2 | HOMEWORK 1 DUE |
| Mon, Jan 28 | Artificial Neural Networks (ANNs) | Sections 4.1-4.4 | Wed, Jan 30 | Artificial Neural Networks (cont) | Section 4.5-4.6 | Mon, Feb 4 | k-fold Cross Validation and its uses | Sections 4.6.5, 5.2, and 5.6 |
| Wed, Feb 6 | Applying ANNs | Section 4.7 | Homework 3 | HOMEWORK 2 DUE |
| Mon, Feb 11 | Instance-Based Learning/Lazy Learning | Sections 8.1-8.2 | ||
| Wed, Feb 13 | Instance-Based Learning/Lazy Learning (cont) | Sections 8.3,8.4, and 8.6 | ||
| Mon, Feb 18 | Bayesian Learning and MDL | Sections 6.1-6.3 and 6.6 | ||
| Wed, Feb 20 | Bayes Optimal Classifier and Naive Bayes | Sections 6.7, 6.9-6.10 | HOMEWORK 3 DUE | |
| Mon, Feb 25 | Bayesian Belief Networks | Section 6.11 | ||
| Wed, Feb 27 | MIDTERM EXAM | |||
| Mon, March 4 | Spring Break | |||
| Wed, March 6 | Spring Break | |||
| Mon, March 11 | The EM Algorithm | Section 6.12 | Homework 4 | |
| Wed, March 13 | Hidden Markov Model (cont) | A Tutorial on Hidden Markov Models | ||
| Mon, March 18 | Computational Learning Theory, PAC model | Sections 7.1-7.3 | ||
| Wed, March 20 | Computational Learning Theory, VCD | Sections 7.4 | ||
| Mon, March 25 | Mistake Bound Model | Section 7.5 | ||
| Wed, March 27 | Exactly Learning an unknown DFA | Handout | Homework 5 | HOMEWORK 4 DUE |
| Mon, April 1 | Boosting (AdaBoost) | A Brief Introduction to Boosting | ||
| Wed, April 3 | Reinforcement Learning, MDP | Sections 13.1,13.2, and 13.7 | ||
| Mon, April 8 | Q Learning | Sections 13.3-13.4 | ||
| Wed, April 10 | TD learning and Sarsa | Section 13.5, 13.6 and Handout | Homework 6 | HOMEWORK 5 DUE |
| Mon, April 15 | Support Vector Machines | Handout | HOMEWORK 6 DUE | |
| Wed, April 17 | Course Overview | |||
| Mon, April 22 | Review Session for Final | |||
| Thur, April 25 | Final Exam, 10:30am-12:30pm, Cupples II 100 |