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Machine Learning

Machine Learning
460-6026/01
čeština Machine Learning
460-6026/02
angličtina

Summary

The subject is focused on the data processing and data analysis with respect to knowledge mining. The subject covers all states of data processing from its acquisition, preprocessing and cleaning to classification or clustering and visualization. The main focus will be targeted to the processing of medical and laboratory data but other data sources will be discussed as well.

Literature

• BERGERON, Bryan P. Bioinformatics computing. Upper Saddle River, NJ: Prentice Hall/Professional Technical Reference, c2003. ISBN 9780131008250 .
• TSAI, Jeffrey J.-P a Ka-Lok NG. Computational methods with applications in bioinformatics analysis. New Jersey: World Scientific, 2017. ISBN 978-981-3207-97-4 .

Advised literature

• AGGARWAL, Charu C. Data mining: the textbook. New York, NY: Springer Science+Business Media, 2015. ISBN 978-3-319-14141-1 .
• ZHANG, Yan-Qing a Jagath Chandana RAJAPAKSE. Machine learning in bioinformatics. Hoboken, N.J.: Wiley, c2009. Wiley series on bioinformatics. ISBN 9780470116623 .


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Language of instruction čeština, angličtina
Code 460-6026
Abbreviation SU
Course title Machine Learning
Coordinating department Department of Computer Science
Course coordinator prof. Ing. Jan Platoš, Ph.D.