Probabilistic ML - Lecture 10 - Understanding Kernels

This is the tenth 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: * Kriging * Wiener-Kolmogorov Prediction * Reproducing Kernel Hilbert Spaces * Eigenfunctions & -Vectors * Universal Kernels © Philipp Hennig / University of Tübingen, 2020 CC BY-NC-SA 3.0