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Dr. Rainer Schlosser

Introduction to Probabilistic Machine Learning (ST 2025) - tele-TASK

Education DE ↓ 13 episodes

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...

Author

Dr. Rainer Schlosser

Category

Podcast website

www.tele-task.de

Latest episode

Jul 7, 2025

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Episodes

Real-World Applications Video 07.07.2025 1:22:20

Information Theory Video 30.06.2025 1:25:34

Non-Bayesian Classification Video 23.06.2025 1:30:03

Gaussian Processes Video 16.06.2025 1:32:05

Bayesian Classification Video 11.06.2025 1:25:44

Bayesian Regression Video 02.06.2025 1:26:07

Linear Basis Function Models Video 26.05.2025 1:29:15

Bayesian Ranking Video 19.05.2025 1:31:45

Graphical Models: Approximate Inference Video 12.05.2025 1:29:09

Graphical Models: Exact Inference Video 05.05.2025 1:29:34

Graphical Models: Independence Video 28.04.2025 1:23:35

Inference & Decision Making Video 14.04.2025 1:31:10

History & Probability Video 07.04.2025 1:25:16

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