Topical Lectures "Machine Learning"

from to (Europe/Amsterdam)
at Nikhef ( H331 )
Material:
Go to day
  • Wednesday, 4 April 2018
    • 10:00 - 11:00 Intro in Machine Learning (general concepts, supervised learning, regression, classification) 1h0'
      Speaker: Rianne van den Berg
      Material: Slides pdf file
    • 11:00 - 11:15 Coffee, Tea
    • 11:15 - 12:00 Intro in Machine Learning (general concepts, supervised learning, regression, classification) 45'
      Speaker: Rianne van den Berg
    • 12:00 - 13:00 Lunch
    • 13:00 - 14:00 Not mandatory - Intro in Python 1h0'
    • 14:00 - 15:00 Hands-on Intro in scikit-learn (classification, regression) 1h0'
      Speaker: Bob Stienen
    • 15:00 - 15:20 Coffee, Tea
    • 15:20 - 17:00 Hands-on Intro in scikit-learn (classification, regression) 1h40'
      Speaker: Bob Stienen
  • Thursday, 5 April 2018
    • 09:30 - 11:00 Intro into Deep Learning 1h30'
      Speaker: Rianne van den Berg
      Material: Slides pdf file
    • 11:00 - 11:15 Coffee, Tea
    • 11:15 - 13:00 Machine Learning in Alice 1h45'
      Speaker: Ruediger Haake
      Material: Link to hands-on link Slides pdf file
    • 13:00 - 14:00 Lunch
    • 14:00 - 15:00 Deep Learning hands-on, start google lecture with Tensorflow 1h0'
      Speaker: Luc Hendriks
    • 15:00 - 15:15 Coffee, Tea
    • 15:15 - 16:00 Deep Learning hands-on, start google lecture with Tensorflow 45'
      Speaker: Luc Hendriks
  • Friday, 6 April 2018
    • 09:30 - 11:00 ML Applications in High-Energy-Physics 1h30'
      Speaker: Juan Rojo
      Material: Slides pdf file
    • 11:00 - 11:15 Coffee, Tea
    • 11:15 - 12:00 ML Applications in High-Energy-Physics 45'
      Speaker: Juan Rojo
    • 12:00 - 13:00 Lunch
    • 13:00 - 14:00 Not mandatory - Introduction in ROOT 1h0'
      Speaker: Rabah Abdul Khalek
    • 14:00 - 15:00 Hands-on application with TMVA 1h0'
      Speaker: Rabah Abdul Khalek
    • 15:00 - 15:15 Coffee, Tea
    • 15:15 - 17:00 Hands-on application with TMVA 1h45'
      Speaker: Rabah Abdul Khalek
      Material: Slides pdf file more information link
    • 17:00 - 18:00 Drinks!