Probabilistic ML – Lecture 2 – Reasoning under Uncertainty
This is the second 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:
* Conditional Independence
* Directed Graphical Models / Bayesian Networks
Much of the content of this lecture is based on earlier material developed by Stefan Harmeling for a lecture course held jointly with Philipp Hennig in 2012 & 2013.
© Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0
