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Regular version of the site
2024/2025

Methods of Artificial Intelligence in Decision Making

Type: Mago-Lego
When: 3, 4 module
Open to: students of all HSE University campuses
Instructors: Vasilii Gromov
Language: English
ECTS credits: 6
Contact hours: 60

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.