Fundamentals of Machine Learning

Type of study	Bachelor
Language of instruction	Czech
Code	460-2064/01
Abbreviation	ZSU
Course title	Fundamentals of Machine Learning
Credits	4
Coordinating department	Department of Computer Science
Course coordinator	prof. Ing. Jan Platoš, Ph.D.

Subject syllabus

Lectures:
1. Data and their Properties
2. Statistical Data Features
3. Knowledge Representation
4. Basic Algorithms
5. Credibility and Algorithm evaluation
6. Advanced Methods and Algorithms
7. Extending of Linear Model
8. Data Transformation
9. Optimization methods
10. Data Vizualization

Exercises on computer lab:
1. Demonstration of lecture knowledge - data and the properties.
2. Demonstration of lecture knowledge - statistical data proeprties.
3. Demonstration of lecture knowledge - knowledge representations.
4. Demonstration of lecture knowledge - linear models.
5. Demonstration of lecture knowledge - model quality and its measurement.
6. Demonstration of lecture knowledge - non=linear models.
7. Demonstration of lecture knowledge - data transformation.
8. Demonstration of lecture knowledge - data transformation.
9. Demonstration of lecture knowledge - optimization method introduction.
10. Demonstration of lecture knowledge - data visualization.

E-learning

All materials are published on the e-learning portal (https://www.vsb.cz/e-vyuka/cs).

Literature

Presentation for lectures.
HASTIE, Trevor., Robert. TIBSHIRANI and J. H. FRIEDMAN. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer, c2009. ISBN 978-0-387-84858-7.
WITTEN, Ian H., Eibe FRANK, Mark A. HALL and Christopher J. PAL. Data mining: Practical machine learning tools and techniques. Fourth Edition. Amsterdam: Elsevier, 2017. .

Advised literature

LESKOVEC, Jurij, Anand RAJARAMAN and Jeffrey D. ULLMAN. Mining of massive datasets / Jure Leskovec, Standford University, Anand Rajaraman, Milliways Labs, Jeffrey David Ullman, Standford University. Second edition. Cambridge: Cambridge University Press, 2014. .
AGGARWAL, Charu C. Data mining: the textbook. New York, NY: Springer Science+Business Media, 2015. .

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