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 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 firstname.lastname@example.org to get username and password.