Topical Lectures "Machine Learning"

4 Apr 2018, 10:00 → 6 Apr 2018, 18:00 Europe/Amsterdam

H331 (Nikhef)

instruction installation Python etc. http://www.hef.ru.nl/~bstienen/topical/installation.html

instruction Root and TMVA https://github.com/rabah-khalek/TMVA_tutorials

Wednesday, 4 April ¶

1 Intro in Machine Learning (general concepts, supervised learning, regression, classification)¶

Speaker: Rianne van den Berg

Slides lecture1.pdf

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

Thursday, 5 April ¶

6 Intro into Deep Learning¶

Speaker: Rianne van den Berg

Slides Lecture2.pdf

11:00 Coffee, Tea

7 Machine Learning in Alice¶

Speaker: Ruediger Haake

Link to hands-on https://swan004.cern.ch/hub/spawn?projurl=https://gitlab.cern.ch/rhaake/MLTutorial.git

Slides 2018-04-05_ML_ALICE.pdf

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

Friday, 6 April ¶

10 ML Applications in High-Energy-Physics¶

Speaker: Juan Rojo

Slides rojo-ML-NikhefLectures.pdf

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 https://github.com/rabah-khalek/TMVA_tutorials.git

Slides TMVA_TUTORIALS.pdf

17:00 Drinks!