Inteligentni sistemi
Teden | Ime | Opis |
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Course description and students obligations 2023/24 | About lecturers, contents, grading, and literature. |
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Lecture slides 2023/24 | Warning: The slides from the lectures are outlines of the topics covered. Do not consider them as a replacement for the literature. |
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Some recordings of the partially outdated lectures are available in MS Teams, UL FRI Intelligent systems team, use the code 6zwq5bg for access. | ||
Literature and readings | The main literature for machine learning:
Further readings:
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Samples of written exams | Sample Exams |
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A sample of oral exam questions | ||
IS Seminar 1 | ||
dataset | ||
Assignment 2 | ||
Dataset 2 | ||
Data analyist is a top job | Other surveys confirm the findings.. |
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Data science cheatsheet | ||
9. Oktober - 13. Oktober | Introduction to Python (Python Notebook) | |
Problems (Python Notebook) | ||
Solutions (Python Notebook) | ||
17. Oktober - 21. Oktober | Code | |
Problems | ||
solutions | ||
24. Oktober - 28. Oktober | "players.txt" data set | |
"movies.txt" data set | ||
Visualization - code | ||
Problems | ||
Solutions | ||
31. Oktober - 4. November | "tic-tac-toe-learn.txt" data set | |
"tic-tac-toe-test.txt" data set | ||
Code | ||
Problems | ||
lab4 solutions | ||
7. November - 11. November | "cars.txt" data set | |
"spamlearn.txt" data set | ||
"spamtest.txt" data set | ||
"vehicle.txt" data set | ||
"student.txt" data set | ||
Code | ||
Problems | ||
Solutions | ||
14. November - 18. November | "quadrant.txt" data set | |
Neural Networks | ||
21. November - 25. November | problems | |
nlp | ||
Solutions | ||
12. December - 16. December | Feature selection | |
Model explainability | ||
quadrant | ||
19. December - 23. December | Clustering | |
Ensemble learning | ||
vehicle.txt | ||
worldcities.csv | ||
Problems | ||
9. Januar - 13. Januar | Reinforcement learning - Problems | |
Reinforcement learning |