courses:b4m36smu:lectures [CourseWare Wiki]

Lectures

The lectures are given in English to all students.

L	Date	Lecturer	Contents	Material
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.