Probabilistic ML — Lecture 19 — Extended Example: Topic Modelling
Channel: Tübingen Machine Learning
Date: 26/06/2020

This is the nineteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. 

Time-stamped slides available at https://uni-tuebingen.de/en/180804.

Contents: 
* topic modelling
* (probabilistic) principal component analysis as maximum likelihood
* latent semantic indexing / latent semantic analysis

© Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0