Master 2025/2026

Machine Learning I

Type: Elective course (Science of Learning and Assessment)

Delivered by: Department of Educational Programmes

When: 2 year, 2 module

Open to: students of one campus

Instructors: Andrey Zakharov

Language: English

Course Syllabus

Abstract

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.