Probabilistic ML - Lecture 11 - Understanding Kernels and Gaussian Processes
Channel: Tübingen Machine Learning
Date: 2023-06-28

This is the eleventh lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University of Tübingen. 

Contents: 
* stochastic Processes
* Kernels
* Eigenfunctions
* Representer map
* Reproducing Kernel Hilbert Spaces
* Sampling spaces of Gaussian processes

The slides for this course are available at https://github.com/philipphennig/Probabilistic_ML

© Philipp Hennig / University of Tübingen, 2023 CC BY-NC-SA 4.0