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Regular version of the site

Methods of Artificial Intelligence in Decision Making

2024/2025
Academic Year
ENG
Instruction in English
6
ECTS credits
Course type:
Compulsory course
When:
1 year, 3, 4 module

Instructor

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.