Ralf Herbrich

Prof. Dr. Ralf Herbrich is Full Professor at University of Potsdam and Head of the Chair for Artificial Intelligence and Sustainability at the Hasso Plattner Institute Potsdam. He has studied at Technical University of Berlin both for a Diploma degree in Computer Science (with focus on Computer Graphics and Artificial Intelligence (AI)) in 1997 and a PhD degree in Theoretical Statistics in 2000, respectively. Prof. Dr. Ralf Herbrich worked in both basic and applied science at Microsoft, Facebook, Amazon, and Zalando.
He does not accept existing scientific boundaries and thinks that the largest breakthroughs will be made at the intersection of existing disciplines. His research interests include approximate computing, Bayesian inference and decision making, game theory, information retrieval, natural language processing, computer vision, distributed systems, machine learning theory and knowledge representation and reasoning. Prof. Dr. Ralf Herbrich has published over 80 peer reviewed conference and journal papers in these fields.

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An Introduction to Probabilistic Machine Learning (openHPI) OpenHPI
Hasso-Plattner-Institut

An Introduction to Probabilistic Machine Learning (openHPI)

Dive into the world of data-efficient machine learning with our 'An Introduction to Probabilistic Machine Learning' course on openHPI. Gain insights into cutting-edge methods that blend domain expertise with scalable models. Explore causal inference and explainable AI as you learn about both theoretical principles and practical computational aspects.

Jun 14th 2023
2 Weeks
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