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252-4811-00L 2 Credits BSC D-INFK
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Machine Learning Seminar

Lecturers & Examiners: Dr. Ekaterina Krymova, Dr. Christian Donner
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
VVZ CR 4.67

Last Updated: 2026-06-01 11:33:38

Abstract

Seminal and recent papers in machine learning are presented and discussed.

Objective

The seminar familiarizes students with advanced and recent ideas in machine learning. Original articles have to be presented, contexctualized, and critically reviewed. The students will learn how to structure a scientific presentation in English which covers the key ideas of a scientific paper.

Content

The seminar will cover a number of recent papers which have emerged as important contributions in the machine learning research community. The topics will vary from year to year but they are centered on methodological issues in machine learning like new learning algorithms, ensemble methods or new statistical models for machine learning applications.

Resources

Literature

The papers will be presented and allocated in the first session of the seminar.

General Information

Language
English
Levels
BSC
Frequency
Semesterly recurring

Examination

Type
graded semester performance

Registration & Places

Max Places
24
Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar Machine Learning Seminar
Kick-off Meeting: 28 February 2025, 10:00 -12:00, CAB H52 Saturday sessions: 26 April, 3 and 17 May 2025, 08:30 - 13:00, OAT S15-17
  • 28.02 Date 10:15-12:00 (CAB H 52)
2 h weekly

Offered In