This repository has been set up for the bachelor students of the summer term 2017 and is meant to collect basic information (directly or pointing to) on all aspects relevant for their projects.
To clone this repository locally you have to type:
git clone git@gitlab.physik.uni-muenchen.de:David.Handl/bachelor-SoSe17.git
cd bachelor-SoSe17
source setup.sh
Basic plotting scripts are located in the plotting directory. Scripts regarding to multivariate analysis techniques are located in the ML directory.
Additional information:
- ROOT: https://root.cern.ch/documentation
- Getting started with git: https://www.atlassian.com/git/tutorials
- CERN summer student lecture programme: https://cds.cern.ch/search?ln=de&p=cern+summer+student+lecture+programme&action_search=Suchen&op1=a&m1=a&p1=&f1=&c=CERN+Document+Server&sf=&so=d&rm=wrd&rg=10&sc=1&of=hb#3
- Deep Learning (by Ian Goodfellow, Yoshua Bengio and Aaron Courvielle): http://www.deeplearningbook.org/
- A crash course in Python for scientists: http://nbviewer.jupyter.org/gist/rpmuller/5920182
- CS229 Lecture notes on Machine Learning: http://cs229.stanford.edu/materials.html
- IML Machine Learning Workshop: https://indico.cern.ch/event/595059/timetable/#20170320
- Material from the 2nd ML summer school: https://github.com/yandexdataschool/mlhep2016
- Deep Learning with Keras: https://github.com/YaleATLAS/CERNDeepLearningTutorial