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This course is intended for beginners who have no or limited experience with machine learning
and want to do their first steps in this field. The participants will learn what machine learning is,
what types of ML are the most typical in practical applications and how the basic algorithms
work. We are not going to sink into mathematical formulas or complex proofs. Instead, we will
focus on intuitive understanding of the principles, which are necessary for the ability to design
machine learning models.
The course covers introduction to classification, regression, clustering, and practical basics of
artificial neural networks in Python.