Dr. Rainer Schlosser
Introduction to Probabilistic Machine Learning (ST 2025) - tele-TASK
Probabilistic machine learning has gained a lot of practical relevance over the past 15 years as it is highly data-efficient, allows practitioners to easily incorporate domain expertise and, due to the recent advances in efficient approximate inference, is highly scalable. Moreover, it has close relations to causal inference which is one of the key methods for measuring cause-effect relationships of machine learning models and explainable artificial intelligence. This course will introduce all recent developments in probabilistic modeling and inference. It will cover both the theoretical as we...
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Dr. Rainer Schlosser
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Podcastens hjemmeside
Seneste episode
7. jul. 2025
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