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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 16:06:50

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

Registration & Places

Max Places
100
Priority: Registration for the course unit is until 31.01.2022 only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture Mathematics of Machine Learning
  • Fri 14:15-16:00 (HG D 3.2)
2 h weekly
exercise Mathematics of Machine Learning
Groups are selected in myStudies.
  • Mon 12:15-13:00 (HG E 33.1)
  • Mon 12:15-13:00 (HG E 33.3)
  • Mon 12:15-13:00 (HG F 26.5)
  • Mon 12:15-13:00 (HG G 26.5)
1 h weekly

Offered In