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be5b33kui
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BE5B33KUI
Computers labs, seminars
weekly
01 Intro and Search I
02 Search II
03 Adversarial I
04 Adversarial II
05 Probabilities I
06 Sequential I
07 Sequential II
08 Reinforcement Learning I
09 Reinforcement Learning II
10 Reinforcement Learning III
11 Bayesian learning
12 Classifiers I
13 Classifiers II
Required Python version
Lectures
Correction to lecture 12 in SS 2022/2023
Semestral tasks
1. Search in KUI Maze
2. Reversi game
3. Markov Decision Processes
Scoring
4. Reinforcement Learning
RL: Scoring
5a. ML 1: Digits recognition
Processing command-line arguments: module ''argparse''
The distance of 2 images
Reading .png image into a numerical vector
Listing a directory contents
Reading .dsv files into a dictionary
5b. ML 2: Optimal classifier
KUI Maze Environment
Installation
Important kuimaze2 datatypes
Map
SearchProblem
MDPProblem
RLProblem
Tutorials
Creating a class
Solutions to homeworks, tests, etc.
OS Basics
Paths to files and directories in Windows and Linux
Python
Tests
Distance teaching
EuroTeQ Info
Books and on-line resources
Online exam
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Summer 2017 / 2018
Older
BE5B33KUI@FEL
Schedule
BRUTE - Upload homeworks
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courses/be5b33kui/sidebar.txt
· Last modified: 2024/02/13 10:45 by
xposik