2023/2024
Computational Learning Theory
Type:
Mago-Lego
Delivered by:
Big Data and Information Retrieval School
When:
1 module
Online hours:
52
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
10
Course Syllabus
Abstract
Our course aims at introducing machine learning and its paradigms. We will provide basic tools and concepts for theoretical justification of reliability of statistical learning including the concentration of measure phenomenon, empirical process theory, VC-dimension, and Rademacher’s complexity. These tools will be then applied to the analysis of popular algorithms in supervised and unsupervised learning. It is supposed that students have a solid background in calculus, linear algebra, and probability theory in order to fluently follow the course.