| Foundations of Machine Learning | Lecturer |
| Deep Learning | Geiger |
| | |
| Diverse Topics in Machine Learning - Lectures | |
| Data Literacy | Macke |
| Mathematics of Machine Learning | Luxburg |
| Reinforcement Learning | Martius |
| Medical Data Science | Pfeifer |
| Nonconvex Optimization for Deep Learning | Orvieto |
| Machine Learning for Single Cell Biology | Claassen |
| Trustworthy Machine Learning | Oh |
| Recurrent and Generative Artificial Neural Networks | Butz |
| Virtual Humans | Pons - Moll |
| Time Series | Ludwig |
| The Science of Machine Learning Benchmarks | Hardt |
| Theory of Statistical Learning for Nonparametric Regression 2 | Prohl |
| | |
| Diverse Topics in Machine Learning - Seminars | |
| Ethics and Philosophy of Machine Learning | Grote |
| Current Topics in Robotics | Zell |
| Machine Learning for Health | Eggeling |
| Eggensberger |
| Contrastive Learning and Dimensionality Reduction | Kobak |
| Advanced Topics in Computer Graphics and Computer Vision | Lensch |
| Philosophy of Science for Machine Learning | Genin/Zezulka |
| AI for Brain Health | Berens |
| Physics-informed Machine Learning | Ludwig |
| | |
| Diverse Topics in Machine Learning - Practical Sessions | |
| Mobile Robots | Zell |
| | |
