https://cds.cern.ch/record/2211157/

Toolkit for Multivariate Analysis(TMVA) is a package in ROOT for machine learning algorithms for classification and regression of the events in the detectors. In TMVA, we are developing new high level algorithms to perform multivariate analysis as cross validation, hyper parameter optimization, variable importance etc… Almost all the algorithms are expensive and designed to process a huge amount of data. It is very important to implement the new technologies on parallel computing to reduce the processing times. Summer student report CERN Summer Student Report

ALICE experiment is preparing the computing resources for the next upgrade and they have plans to use ROOT-R to do advanced statistical analysis. ALICE-SFT-1.pdf

ALICE Mini-Workshop tomorrow, Statistical Methods and Machine Learning Tutorial from IML http://iml.web.cern.ch/content/alice-mini-workshop-2016

For external users that want to test the notebooks in Oproject’s (JupyterHub) please write to tmvatutorial@gmail.com to get username and password.