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Regular version of the site
Master 2024/2025

Methods of Artificial Intelligence in Decision Making

Type: Compulsory course (Data Science)
Area of studies: Applied Mathematics and Informatics
When: 1 year, 3, 4 module
Mode of studies: offline
Open to: students of all HSE University campuses
Master’s programme: Data Science
Language: English
ECTS credits: 6

Course Syllabus

Abstract

This course presents an introduction to the mathematical foundations of statistical learning theory. The presentation is oriented towards the most important algorithms and methods in the field. Topics studied include: empirical risk minimisation, local averaging, boosting and support vector machines. We will also provide an introduction to online and reinforcement learning methods.