Probabilistic ML – Lecture 1 – Introduction

This is the first 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

* Introduction to uncertain reasoning
* Kolmogorov’s axioms and basic rules of probabilistic reasoning
* Example uses of Bayes’ Theorem

Slides 4 & 13 (deductive v probabilistic reasoning) are based on prior 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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