CERN-Sanofi Training

Europe/Zurich
Description
CERN Training in Machine Learning for Sanofi
    • 09:00 09:30
      Introduction 30m
      Speakers: Lorenzo Moneta (CERN), Dr Sergei Gleyzer (University of Florida (US))
    • 09:30 10:30
      Introduction to ROOT 1h
      Speaker: Lorenzo Moneta (CERN)
    • 10:30 11:00
      Coffee break 30m
    • 11:00 13:00
      ROOT histograms, data structure, I/O 2h
      Speaker: Lorenzo Moneta (CERN)
    • 13:00 14:00
      Lunch 1h
    • 14:00 15:30
      Hands-on session with ROOT: histrograms and trees 1h 30m
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 15:30 16:00
      Coffee Break 30m
    • 16:00 17:00
      Hands-on Session with ROOT histrograms and trees 1h
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 09:00 09:30
      Short Recap 30m
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 09:30 10:15
      Presentation of Sanofi Problems by participants: Problem 1 45m
    • 10:15 11:00
      Presentation of Sanofi Problems by participants: Problem 2 45m
    • 11:00 11:30
      Coffee Break 30m
    • 11:30 13:00
      Example preparation in ROOT 1h 30m
    • 13:00 14:00
      Lunch 1h
    • 14:00 15:00
      Introduction to Machine Learning 1h
      Speaker: Sergei Gleyzer (University of Florida (US))
    • 15:00 15:30
      Machine Learning Methods in ROOT 30m
      Speaker: Sergei Gleyzer (University of Florida (US))
    • 15:30 16:00
      Coffee Break 30m
    • 16:00 17:00
      Hands-on session: machine learning methods in ROOT 1h
      Speakers: Lorenzo Moneta (CERN), Sergei Gleyzer (University of Florida (US))
    • 09:00 09:30
      Short recap 30m
    • 09:30 10:30
      Group work on Sanofi Problems with ROOT ML Toolss 1h
    • 10:30 11:00
      Coffee break 30m
    • 11:00 13:00
      Group work on Sanofi Problems with basic ROOT ML Tools 2h
    • 13:00 14:00
      Lunch 1h
    • 14:00 15:30
      Advanced Machine Learning Tools in ROOT 1h 30m
    • 15:30 16:00
      Coffee Break 30m
    • 16:00 17:00
      Hands-on session: Advanced ML methods in ROOT 1h
    • 09:00 09:30
      Short Recap 30m
    • 09:30 10:30
      Continuation of hands-on session of advanced methods in ROOT 1h
    • 10:30 11:00
      Coffee Break 30m
    • 11:00 13:00
      Hands-on session continuation 2h
    • 13:00 14:00
      Lunch 1h
    • 14:00 14:45
      Presentation of progress: problem 1 45m
    • 14:45 15:30
      Presentation of progress: problem 2 45m
    • 15:30 16:00
      Coffee Break 30m
    • 16:00 17:00
      Discussion and Closing 1h