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Regular version of the site

Modern Methods of Decision Making

2021/2022
Academic Year
ENG
Instruction in English
4
ECTS credits
Course type:
Compulsory course
When:
1 year, 3, 4 module

Instructors

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.