| 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 |
