CERN-Sanofi Training

Europe/Zurich
Description
CERN Training in Machine Learning for Sanofi
    • 1
      Introduction
      Speakers: Lorenzo Moneta (CERN), Dr Sergei Gleyzer (University of Florida (US))
    • 2
      Introduction to ROOT
      Speaker: Lorenzo Moneta (CERN)
    • 10:30
      Coffee break
    • 3
      ROOT histograms, data structure, I/O
      Speaker: Lorenzo Moneta (CERN)
    • 13:00
      Lunch
    • 4
      Hands-on session with ROOT: histrograms and trees
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 15:30
      Coffee Break
    • 5
      Hands-on Session with ROOT histrograms and trees
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 6
      Short Recap
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 7
      Presentation of Sanofi Problems by participants: Problem 1
    • 8
      Presentation of Sanofi Problems by participants: Problem 2
    • 11:00
      Coffee Break
    • 9
      Example preparation in ROOT
    • 13:00
      Lunch
    • 10
      Introduction to Machine Learning
      Speaker: Sergei Gleyzer (University of Florida (US))
    • 11
      Machine Learning Methods in ROOT
      Speaker: Sergei Gleyzer (University of Florida (US))
    • 15:30
      Coffee Break
    • 12
      Hands-on session: machine learning methods in ROOT
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 13
      Short recap
    • 14
      Group work on Sanofi Problems with ROOT ML Toolss
    • 10:30
      Coffee break
    • 15
      Group work on Sanofi Problems with basic ROOT ML Tools
    • 13:00
      Lunch
    • 16
      Advanced Machine Learning Tools in ROOT
    • 15:30
      Coffee Break
    • 17
      Hands-on session: Advanced ML methods in ROOT
    • 18
      Short Recap
    • 19
      Continuation of hands-on session of advanced methods in ROOT
    • 10:30
      Coffee Break
    • 20
      Hands-on session continuation
    • 13:00
      Lunch
    • 21
      Presentation of progress: problem 1
    • 22
      Presentation of progress: problem 2
    • 15:30
      Coffee Break
    • 23
      Discussion and Closing