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Machine Learning I

2022/2023
Academic Year
ENG
Instruction in English
6
ECTS credits
Course type:
Compulsory course
When:
1 year, 2, 3 module

Course Syllabus

Abstract

The purpose of mastering the discipline is to familiarize students with the theoretical foundations and basic principles of machine learning, mastery tools, models and methods of machine learning, as well as the acquisition of skills as a data scientist and developer of mathematical models, methods and algorithms for data analysis. To master the discipline students must know linear algebra and geometry, basics of programming, differential equations and theory of probability and mathematical statistics.