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
