Exercises

Date	Week	Topic	Link
23.02.2016	1.	Course organization. Intro to Python.	Ex. 1
01.03.2016	2.	Bayesian and non-bayesian decision tasks.	Ex. 2
08.03.2016	3.	Linear regression.	Ex. 3
15.03.2016	4.	Non-linear regression via basis expansion. Logistic regression.	Ex. 4
22.03.2016	5.	Training and testing error. Crossvalidation.	Ex. 5
29.03.2016	6.	Classification and regression trees. ROC. Learning curves.	Ex. 6
05.04.2016	7.	Intro to semestral task nr 1.	Ex. 7
12.04.2016	8.	Work and consultations for semestral task nr 1.	Ex. 8
19.04.2016	9.	HTN in JSHOP2. Installation, basics.	Ex. 9
26.04.2016	10.	JSHOP2, methods, operators, examples.	Ex. 10
03.05.2016	11.	JSHOP2: Soldiers and monsters	Ex. 11
10.05.2016	12.	MDP: Value iteration	Ex. 12
17.05.2016	13.	Semestral tasks 2 and 3: Consultations	Ex. 13
24.05.2016	14.	Semestral task 3: Consultations	Ex. 14