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ae3m33ui
exercises
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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
courses/ae3m33ui/exercises/start.txt
· Last modified: 2016/05/05 16:07 by
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