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Introduction to machine learning

9 ECTS
Master's
Czech
Karel Šafr

The aim of the course is to get acquainted with the basic issues, phases, approaches and methods of machine learning, in the form of the most used algorithms. In a practical demonstration, the student gets acquainted with the individual processes through the programming language R.

Course outline

Definition of machine learning, its aspects and phases
Machine learning approaches and selection of suitable algorithms
Interpretation and verification of training results
Decision trees
Linear regression
Neural networks
Clustering
Dimensionality reduction
Applications of machine learning in various industries
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