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Last update: doc. RNDr. Pavel Töpfer, CSc. (30.01.2018)
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Last update: doc. RNDr. Pavel Töpfer, CSc. (30.01.2018)
Students have to analyze a given data set, present the results and submit the analysis in a written form. |
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Last update: doc. RNDr. Pavel Töpfer, CSc. (30.01.2018)
Willi Richert,ý Luis Pedro Coelho: Building Machine Learning Systems with Python, Packt Publishing 2013 Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani: An Introduction to Statistical Learning with Applications in R, Springer 2013 |
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Last update: doc. RNDr. Pavel Töpfer, CSc. (30.01.2018)
The seminar provides an experience in data analysis. It extends the lecture Introduction to Machine Learning. Lectures introduce to machine learning tools and library functions usage. Participants of the seminar analyze a given dataset and submit their results as a seminar work.
The lectures cover:
According a specific dataset we may further focus at:
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