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courses
ui
exercises
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Lab exercises
Instructors: Petr Pošík, Jiří Spilka
Czech labs
: Tuesdays, 14:30-16:00, 16:15-17:45, room KN:E-230
English lab
: Tuesdays, 18:00-19:30, room KN:E-230
Work in progress, update for the upcoming semester.
Date
Week
Odd/Even
Contents
Link
19.02.2019
1.
E
Course organization. Intro to Python/ML
Intro
26.02.2019
2.
O
Bayesian and non-bayesian decision tasks
ML 1
05.03.2019
3.
E
Linear regression
ML 2
12.03.2019
4.
O
Non-linear models via basis expansion, logistic regression
ML 3
19.03.2019
5.
E
Model evaluation and diagnostics
ML 4
26.03.2019
6.
O
Decision trees and ensemble models
ML 5
02.04.2019
7.
E
Semestral task 1, Neural networks
ST1a
,
ST1b
,
ML 6
09.04.2019
8.
O
A brief intro to ST1, Bayesian networks
PM 1
16.04.2019
9.
E
Hidden Markov Models 1
PM 2
23.04.2019
10.
O
Hidden Markov Models 2
ST2
,
PM 3
30.04.2019
11.
E
Hierarchical Task Net (HTN) Planning
HTN
07.05.2019
12.
O
Constraint satisfaction problems
CSP
14.05.2019
13.
E
Schedule as on Wednesday
21.05.2019
14.
O
Scheduling
CPM
courses/ui/exercises/start.txt
· Last modified: 2019/05/21 12:01 by
spilkjir