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

* 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

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