Introduction to Probabilistic Machine Learning (ST 2024)

Prof. Dr. Ralf Herbrich


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 well as practical and computational aspects of probabilistic machine learning. In the course, we will implement all the inference techniques and apply them to real-world problems.

Lectures

Date: April 8, 2024
Language: English
Duration: 01:18:09
Date: April 9, 2024
Language: English
Duration: 01:31:23
Julia 01:31:23
Date: April 15, 2024
Language: English
Duration: 01:17:35
Date: April 16, 2024
Language: German
Duration: 01:08:55
Date: April 22, 2024
Language: English
Duration: 01:13:09
Date: April 23, 2024
Language: English
Duration: 00:56:37
Tutorial 00:56:37
Date: April 29, 2024
Language: English
Duration: 01:21:29
Date: April 30, 2024
Language: German
Duration: 01:15:19
Date: May 6, 2024
Language: English
Duration: 01:32:20
Date: May 7, 2024
Language: English
Duration: 00:44:41
Date: May 13, 2024
Language: English
Duration: 01:21:19
Date: May 14, 2024
Language: German
Duration: 01:21:47
Date: May 28, 2024
Language: German
Duration: 01:26:37
Date: June 3, 2024
Language: German
Duration: 01:24:34
Date: June 4, 2024
Language: English
Duration: 00:40:42
Date: June 12, 2024
Language: German
Duration: 01:16:26
Date: June 17, 2024
Language: English
Duration: 01:28:49
Date: June 18, 2024
Language: German
Duration: 01:05:29
Date: June 24, 2024
Language: German
Duration: 01:25:21
Date: June 25, 2024
Language: German
Duration: 00:46:02
Date: July 1, 2024
Language: English
Duration: 00:59:51
Audio starts at 00:23:27
Date: July 8, 2024
Language: English
Duration: 01:08:00
Date: July 15, 2024
Language: English
Duration: 01:00:43