Warning
This page is located in archive.

sample-exam.pdf

Lectures

The lectures are given in English to all students.

L Date Lecturer Contents Material Recommended literature
1 19.2. General framework: agent and environment Chapter 1
2 26.2. On-line concept learning Chapter 2
3 5.3. Batch concept learning Chapter 3
4 12.3. JK Learning Bayesian networks GPM slides
5 19.3. JK (lecture 4 cont'd)
6 26.3. JK (lecture 4 cont'd)
2.4. Easter Monday
7 9.4. Learning first-order CNF's Chapter 4
8 16.4. Learning first-order clauses Chapter 4
9 23.4. (lecture 9 cont'd)
10 30.4. Learning first-order Bayesian networks (not part of textbook/exam)
11 7.5. JK Reinforcement learning RL slides
12 14.5. JK (lecture 11 cont'd)
13 21.5. TBA

The primary study material is the smu-textbook-v2018.pdf, which grows as the course goes.

courses/smu/lectures.txt · Last modified: 2018/03/03 19:37 by zelezny