Topical Lectures "Machine Learning"

Europe/Amsterdam
H331 (Nikhef)

H331

Nikhef

instruction installation Python etc.
instruction Root and TMVA
    • 1
      Intro in Machine Learning (general concepts, supervised learning, regression, classification)
      Speaker: Rianne van den Berg
      Slides
    • 11:00
      Coffee, Tea
    • 2
      Intro in Machine Learning (general concepts, supervised learning, regression, classification)
      Speaker: Rianne van den Berg
    • 12:00
      Lunch
    • 3
      Not mandatory - Intro in Python
    • 4
      Hands-on Intro in scikit-learn (classification, regression)
      Speaker: Bob Stienen
    • 15:00
      Coffee, Tea
    • 5
      Hands-on Intro in scikit-learn (classification, regression)
      Speaker: Bob Stienen
    • 6
      Intro into Deep Learning
      Speaker: Rianne van den Berg
      Slides
    • 11:00
      Coffee, Tea
    • 7
      Machine Learning in Alice
      Speaker: Ruediger Haake
      Link to hands-on
      Slides
    • 13:00
      Lunch
    • 8
      Deep Learning hands-on, start google lecture with Tensorflow
      Speaker: Luc Hendriks
    • 15:00
      Coffee, Tea
    • 9
      Deep Learning hands-on, start google lecture with Tensorflow
      Speaker: Luc Hendriks
    • 10
      ML Applications in High-Energy-Physics
      Speaker: Juan Rojo
      Slides
    • 11:00
      Coffee, Tea
    • 11
      ML Applications in High-Energy-Physics
      Speaker: Juan Rojo
    • 12:00
      Lunch
    • 12
      Not mandatory - Introduction in ROOT
      Speaker: Rabah Abdul Khalek
    • 13
      Hands-on application with TMVA
      Speaker: Rabah Abdul Khalek
    • 15:00
      Coffee, Tea
    • 14
      Hands-on application with TMVA
      Speaker: Rabah Abdul Khalek
      more information
      Slides
    • 17:00
      Drinks!