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401-2684-00L 5 Credits BSC D-MATH
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Mathematics of Machine Learning

Lecturers & Examiners: Prof. Dr. Afonso Sousa Bandeira, Dr. Nikita Zhivotovskii
VVZ CR n/a

Last Updated: 2026-02-05 15:54:09

Abstract

Introductory course to Mathematical aspects of Machine Learning, including Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning.

Objective

Introduction to Mathematical aspects of Machine Learning.

Content

Mathematical aspects of Supervised Learning, Unsupervised Learning, Sparsity, and Online Learning. This course is a Mathematical course, with Theorems and Proofs.

Resources

Learning Materials (Links)

General Information

Language
English
Levels
BSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 120 minutes
Aids
None

Course Components

Type Title Time & Place Hours
lecture Mathematics of Machine Learning
  • Thu 16:15-18:00 (HG G 3)
2 h weekly
exercise Mathematics of Machine Learning
Groups are selected in myStudies.
  • Fri 14:15-15:00 (CLA E 4)
  • Fri 14:15-15:00 (HG G 26.3)
  • Fri 14:15-15:00 (LEE C 114)
  • Fri 14:15-15:00 (LEE D 101)
1 h weekly

Offered In