This collection of notebooks was started for a lecture on machine learning at the Universitat Autònoma de Barcelona. It has since grown into a large part of the statistical methods lecture (SMD) at the Physics department at TU Dortmund University. It contains some mathematical derivations and small excersises to play with.
Start with the smd_ml.ipynb and work your way through the rest.
As of now, you need to execute this notebook within the project folder since it imports some plotting functions from the ml module.
The programming code examples in this material are shared under the GnuGPLv3 license. The lecture material (e.g. jupyter notebooks) are shared under the Creative Commons Attribution-NonCommercial License: https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt, so they cannot be used for commercial training / tutorials / lectures.