Lecture: Probabilistic Machine Learning / Machine Learning - Details

Lecture: Probabilistic Machine Learning / Machine Learning - Details

General information

Course name Lecture: Probabilistic Machine Learning / Machine Learning
Course number INF-0508 / INF-3033
Semester SS 2026
Current number of participants 69
Home institute Professur für intelligente Perzeption in technischen Systemen - Prof. Dr. Jörg Stückler
Courses type Lecture in category Teaching
First date Wednesday, 15.04.26, 10:00 - 11:30 o'clock 1057 N
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Yes
Hauptunterrichtssprache englisch
ECTS points 8

Rooms and times

1057 N

  • Wednesday, 10:00 - 11:30, Weekly (from 15.04.26)
  • Friday, 12:15 - 13:45, Weekly (from 17.04.26)
  • Friday, 14:00 - 15:30, Weekly (from 17.04.26)

Module assignments

Comment/Description

Modern machine learning methods for classification, regression, and clustering, and advanced deep learning methods are typically formulated in a probabilistic way. This course teaches fundamentals and advanced methods in probabilistic machine learning to enable students to understand and use these models. We will study probabilistic views on machine learning and learn how to handle uncertainty in data, models, and predictions. For example, we will cover topics such as inference and learning in probabilistic graphical models, probabilistic deep learning, and generative AI methods such as probabilistic diffusion models.