A 3-hour Tutorial on Machine Learning, given at the DPG Spring Meeting 2019 in Aachen
The programming code examples in this material are shared under the MIT license. The lecture material as a whole (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.
Just click on the binder badge above, and start.
We need python >= 3.6, if you do not have it installed already, use anaconda.
Download from here: https://anaconda.com/downloads
Clone the repository using git clone https://github.com/tudo-astroparticlephysics/dpg2019-ml-tutorial,
and run
$ cd dpg2019-ml-tutorial
$ conda env create -n dpg -f environment.yml
$ conda activate dpg
$ jupyter notebook