In episode 253 Bayesian Learning, Gudrun Thäter talks to Nadja Klein and Moussa Kassem Sbeyti from SCC. Nadja Klein and Moussa Sbeyti focus on method development at the intersection of statistics and machine learning, in particular on Bayesian methods, which allow to incorporate prior knowledge, quantify uncertainties, and bring insights into the black boxes of machine learning.
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Further information on the research group Methods for Big Data, which Nadja Klein leads at SCC.
Contact: Prof. Dr. Nadja Klein