| Foundations of Machine Learning | Lecturer |
| Probabilistic Machine Learning | Hennig |
| 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 |
| Bayesian Networks and Causality | Rueckschloss/Eckstein |
| Video Analytics | Kuehne |
| Understanding LLMs | Franke/Eickhoff |
| Modern Search Engines | Eickhoff |
| | |
Diverse Topics in Machine Learning - Seminars | |
| Machine Learning to fight Infections | Pfeifer |
| Machine Learning for Renewable Energy Systems | Ludwig |
| Advanced Topics in Computergraphics and Computer Vision | Lensch |
Bridging Theory and Practice: Reliable ML in Data Corruption Scenarios | Lu/Iacovissi |
| Machine Learning in Biomedicine | Pfeifer |
| Advances in Multimodal Learning | Kuehne |
| Machine Learning in Translational Single-Cell Biology | Claassen |
| LLMs and Beyond: Modern topics in reasoning and agentic systems | Gehler |
| Machine Learning Methods for Scientific Discovery | Macke |
| | |
| Diverse Topics in Machine Learning - Practice | |
| Mobile Robots | Zell |
| | |
| Expanded Perspectives - Lectures (Special Recommendation) | |
| Advanced Climate Dynamics and Modeling | Rehfeld |
