Probabilistic Machine Learning -- Philipp Hennig, 2023
24 videos • 69,552 views • by Tübingen Machine Learning This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2023. The course offers a modern, "differential perspective" on the classic probabilistic ("Bayesian") paradigm for machine learning. Using automatic differentiation, array-centric programming and numerical linear algebra as foundational tools, it aims to empower students to add probabilistic functionality to the most important model classes of contemporary machine learning; in particular also deep neural networks. Material for the course will be made available through a public git repo at the end of term (i.e. in late July 2023)