Master
2024/2025
Methods of Artificial Intelligence in Decision Making
Type:
Compulsory course (Data Science)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Vasilii Gromov
Master’s programme:
Data Science
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.