Probabilistic ML — Lecture 20 — Latent Dirichlet Allocation

This is the twentieth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig, updated for the Summer Term 2021 at the University of Tübingen. Slides available at https://uni-tuebingen.de/en/180804. Contents: * How to design probabilistic machine learning solutions * Latent Dirichlet Allocation * conditional independence (rejoinder) * Gibbs sampling (rejoinder) © Philipp Hennig / University of Tübingen, 2021 CC BY-NC-SA 3.0