Probabilistic ML - Lecture 11 - Example of GP Regression
Channel: Tübingen Machine Learning
Date: 2020-05-22

This is the eleventh 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: 
* A concrete example of Gaussian process regression
* Kernel design
* Feature design
* Source Separation
* Additive Models
* Hierarchical Bayesian Inference

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