Topical Lectures "Machine Learning"
Apr 4, 2018, 10:00 AM
→
Apr 6, 2018, 6:00 PM
Europe/Amsterdam
H331 (Nikhef)
H331
Nikhef
instruction installation Python etc.
instruction Root and TMVA
Wednesday, April 4
Wed, Apr 4
Thu, Apr 5
Fri, Apr 6
1
Intro in Machine Learning (general concepts, supervised learning, regression, classification)
Speaker
:
Rianne van den Berg
Slides
11:00 AM
Coffee, Tea
2
Intro in Machine Learning (general concepts, supervised learning, regression, classification)
Speaker
:
Rianne van den Berg
12:00 PM
Lunch
3
Not mandatory - Intro in Python
4
Hands-on Intro in scikit-learn (classification, regression)
Speaker
:
Bob Stienen
3:00 PM
Coffee, Tea
5
Hands-on Intro in scikit-learn (classification, regression)
Speaker
:
Bob Stienen
Thursday, April 5
Wed, Apr 4
Thu, Apr 5
Fri, Apr 6
6
Intro into Deep Learning
Speaker
:
Rianne van den Berg
Slides
11:00 AM
Coffee, Tea
7
Machine Learning in Alice
Speaker
:
Ruediger Haake
Link to hands-on
Slides
1:00 PM
Lunch
8
Deep Learning hands-on, start google lecture with Tensorflow
Speaker
:
Luc Hendriks
3:00 PM
Coffee, Tea
9
Deep Learning hands-on, start google lecture with Tensorflow
Speaker
:
Luc Hendriks
Friday, April 6
Wed, Apr 4
Thu, Apr 5
Fri, Apr 6
10
ML Applications in High-Energy-Physics
Speaker
:
Juan Rojo
Slides
11:00 AM
Coffee, Tea
11
ML Applications in High-Energy-Physics
Speaker
:
Juan Rojo
12:00 PM
Lunch
12
Not mandatory - Introduction in ROOT
Speaker
:
Rabah Abdul Khalek
13
Hands-on application with TMVA
Speaker
:
Rabah Abdul Khalek
3:00 PM
Coffee, Tea
14
Hands-on application with TMVA
Speaker
:
Rabah Abdul Khalek
more information
Slides
5:00 PM
Drinks!