Fachbereich Informatik

List of Courses for the Master ML in the Summer semester 2024 (Foundations of ML and Diverse Topics in ML) - Tentative

Foundations of Machine Learning Lecturer

Probabilistic Machine Learning

Macke

Statistical Machine Learning

Hein

 

Diverse Topics in Machine Learning - Lectures

 
Machine Learning of Single Cell Dynamics Claassen
Mobile Robots Zell
Efficient Machine Learning in Hardware Bringmann
Neural Data Science Berens
Natural Language Processing Eickhoff
Theoretical Aspects of Machine Learning Buchholz
Probability Distances for Data Science Eckstein
Theory of Statistical Learning for Nonparametric Regression 1 Prohl
Understanding LLMs Franke/Eickhoff
Modern Search Engines Eickhoff
   

 

Diverse Topics in Machine Learning - Seminars

 
Machine Learning to fight Infections Pfeifer
Explainable Machine Learning Luxburg
Machine Learning for Renewable Energy Systems

Ludwig

Auto Machine Learning in the Age of LLMs and Pre-trained Models

Eggensperger

Advanced Topics in Computergraphics and Computer Vision Lensch

A Zoo of Nonstandard Learning Problems (Block seminar)

Derr/Fröhlich
Deep Learning Research Kitchen Hennig, Orvieto, Geiping, Schneider
Machine Learning in Biomedicine Pfeifer

Machine Learning in Phylogenetics and Population Genetics

Baumdicker

Machine Learning in Translational Single-Cell Biology

Claassen
   
Diverse Topics in Machine Learning - Practice  
Machine Learning in Graphics, Vision, and Language Lensch
Mobile Robots Zell
   
Expanded Perspectives - Lectures (Special Recommendation)  
Climate Modeling Rehfeld