This course provides basic skills to understand and implement simple machine learning algorithms.
The course introduces the most fundamental concepts of machine learning, with a focus on supervised cases where observations are accompanied by a target result.
The course provides both an overview of main theoretical properties of established algorithms and examples of their implementation with state-of-the-art technologies.
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