The lectures are given in English to all students.
L | Date | Lecturer | Contents | Material | Recommended literature |
---|---|---|---|---|---|
1 | 20.2. | FŽ | General framework: agent and environment | Chapter 1 | |
2 | 27.2. | FŽ | On-line concept learning | Chapter 2 | |
3 | 6.3. | FŽ | Batch concept learning | Chapter 3 | |
4 | 13.3. | JK | Learning Bayesian networks | GPM slides | |
5 | 20.3. | JK | (lecture 4 cont'd) | ||
6 | 27.3. | JK | (lecture 4 cont'd) | ||
7 | 3.4. | FŽ | Learning first-order CNF's | Chapter 4 | |
8 | 10.4. | FŽ | Learning first-order clauses | Chapter 4 | |
9 | 24.4. | FŽ | (lecture 9 cont'd) | ||
10 | 2.5. | FŽ | Learning first-order Bayesian networks | (not part of textbook/exam) | |
11 | 11.5. | JK | Reinforcement learning | RL slides | |
12 | 15.5. | JK | (lecture 11 cont'd) | ||
13 | 22.5. | FŽ | finish lec 11 + application demos |
The primary study material is the smu-textbook.pdf which also includes hyperlinks to the two slide sets (GPM and RL) above. The last update is as of June 8, 2017 (no new material beyond the May-28 version, just errata). Please refresh your browser if your last access to it was prior to that date.