Topical Lectures "Machine Learning"
4 Apr 2018, 10:00
→
6 Apr 2018, 18:00
Europe/Amsterdam
H331 (Nikhef)
H331
Nikhef
instruction installation Python etc.
instruction Root and TMVA
Wednesday, 4 April
Wed, 4 Apr
Thu, 5 Apr
Fri, 6 Apr
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
Thursday, 5 April
Wed, 4 Apr
Thu, 5 Apr
Fri, 6 Apr
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
Friday, 6 April
Wed, 4 Apr
Thu, 5 Apr
Fri, 6 Apr
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