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International Admissions

Academic Supervisor

Kuznetsov, Sergei

Manager

Pluzhnikova, Irina G.

Contacts

Study office

Moscow, Russia
11 Pokrovsky Bulvar, Pokrovka Complex, room S831

Office hours: Monday-Friday 10:00 - 18:00.

Irina Gennadievna Pluzhnikova,
Department Head, Programme Manager
Phone: +7(495)772 95 90 ext. 27330
E-mail: ipluzhnikova@hse.ru

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Delivered at:: School of Data Analysis and Artificial Intelligence

Course type:: Compulsory course

When:: 1 year, 3, 4 module

Instructors

Gromov, Vasilii

Tomashchuk, Korney

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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.

Master’s Programme 'Data Science'

Contacts

Methods of Artificial Intelligence in Decision Making

Instructors

Course Syllabus

Abstract