Foundations of Machine Learning | Lecturer |
Deep Learning | Zell |
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Diverse Topics in Machine Learning - Lectures | |
Data Literacy | Hennig |
Mathematics for Machine Learning | Pons Moll |
Self-Driving Cars | Geiger |
Medical Data Science | Pfeifer |
Data Mining and Probabilistic Reasoning | Kasneci |
Advanced Probabilistic Machine Learning - Modeling and Applications | De Bacco |
Convex and Nonconvex Optimization | Ochs |
Introduction to Game Theory with Application to Multi-Agent Systems | Maghsudi |
Beyond Fairness: a Socio-Technical view of Machine Learning | Williamson | |
| |
Diverse Topics in Machine Learning - Seminars | |
Advanced Topics in Computer Graphics and Computer Vision | Lensch |
Current Topics in Deep Neural Networks | Zell |
Machine Learning for Health | Pfeifer |
Explainable Machine Learning | Akata |
Machine Learning Methods for Scientific Discovery | Macke |
Learning with Limited Labeled Data | Akata |
Machine Learning for Renewable Energy Systems | Ludwig |
Machine Learning for Medical Image Analysis | Baumgartner/Koch |
Recent Advances in Recurrent Neural Networks | Butz |
3D Vision | Geiger |
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Diverse Topics in Machine Learning - Practical Sessions | |
Mobile Robots (in English) | Zell |
| |
General Computer Science - Lectures (incomplete) | |
Foundations of Robotics (in English) | Zell |
Artificial Intelligence (in English) | Zell |