Topical Lectures "Machine Learning"

Europe/Amsterdam
H331 (Nikhef)

H331

Nikhef

instruction installation Python etc.
instruction Root and TMVA
    • 10:00 11:00
      Intro in Machine Learning (general concepts, supervised learning, regression, classification) 1h
      Speaker: Rianne van den Berg
      Slides
    • 11:00 11:15
      Coffee, Tea 15m
    • 11:15 12:00
      Intro in Machine Learning (general concepts, supervised learning, regression, classification) 45m
      Speaker: Rianne van den Berg
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:00
      Not mandatory - Intro in Python 1h
    • 14:00 15:00
      Hands-on Intro in scikit-learn (classification, regression) 1h
      Speaker: Bob Stienen
    • 15:00 15:20
      Coffee, Tea 20m
    • 15:20 17:00
      Hands-on Intro in scikit-learn (classification, regression) 1h 40m
      Speaker: Bob Stienen
    • 09:30 11:00
      Intro into Deep Learning 1h 30m
      Speaker: Rianne van den Berg
      Slides
    • 11:00 11:15
      Coffee, Tea 15m
    • 11:15 13:00
      Machine Learning in Alice 1h 45m
      Speaker: Ruediger Haake
      Link to hands-on
      Slides
    • 13:00 14:00
      Lunch 1h
    • 14:00 15:00
      Deep Learning hands-on, start google lecture with Tensorflow 1h
      Speaker: Luc Hendriks
    • 15:00 15:15
      Coffee, Tea 15m
    • 15:15 16:00
      Deep Learning hands-on, start google lecture with Tensorflow 45m
      Speaker: Luc Hendriks
    • 09:30 11:00
      ML Applications in High-Energy-Physics 1h 30m
      Speaker: Juan Rojo
      Slides
    • 11:00 11:15
      Coffee, Tea 15m
    • 11:15 12:00
      ML Applications in High-Energy-Physics 45m
      Speaker: Juan Rojo
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:00
      Not mandatory - Introduction in ROOT 1h
      Speaker: Rabah Abdul Khalek
    • 14:00 15:00
      Hands-on application with TMVA 1h
      Speaker: Rabah Abdul Khalek
    • 15:00 15:15
      Coffee, Tea 15m
    • 15:15 17:00
      Hands-on application with TMVA 1h 45m
      Speaker: Rabah Abdul Khalek
      more information
      Slides
    • 17:00 18:00
      Drinks! 1h