Lab exercises

Instructor: Jiří Spilka

Work in progress, update for the upcoming semester.

Date	Week	Odd/Even	Contents	Link
20.02.2018	1.	E	Course organization. Intro to Python	Intro
27.02.2018	2.	O	Bayesian and non-bayesian decision tasks	ML 1
06.03.2018	3.	E	Linear regression	ML 2
13.03.2018	4.	O	Non-linear models via basis expansion, logistic regression	ML 3
20.03.2018	5.	E	Model evaluation and diagnostics	ML 4
27.03.2018	6.	O	Decision trees and ensemble models	ML 5
03.04.2018	7.	E	Semestral task 1, Neural networks	ST1, ML 6
10.04.2018	8.	O	A brief intro to ST1, Bayesian networks	PM 1
17.04.2018	9.	E	Hidden Markov Models 1	PM 2
24.04.2018	10.	O	Hidden Markov Models 2	ST2, PM 3
01.05.2018	11.	E	No labs. Public holiday.
08.05.2018	12.	O	No labs. Public holiday.
15.05.2018	13.	E	Hierarchical Task Net (HTN) Planning	HTN
17.05.2018	13.	E	Schedule as on Tuesday. Scheduling	CPM
22.05.2018	14.	O	Constraint satisfaction problems	CSP