Heavy Flavour Data Mining workshop

Session

Machine Learning tools & tutorials

18 Feb 2016, 15:00

Y16 G15 (University of Zurich, Irchel Campus)

Conveners

Machine Learning tools & tutorials

• Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

Machine Learning tools & tutorials: Machine Learning tools & tutorials

• There are no conveners in this block

Machine Learning tools & tutorials: Machine Learning tools & tutorials

• Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

Machine Learning tools & tutorials: Machine Learning tools & tutorials

• There are no conveners in this block

9. An introduction to machine learning with Scikit-Learn

Dr Gilles Louppe (New York University (US))

18/02/2016, 15:00

https://github.com/glouppe/tutorial-scikit-learn

7. Boosting applications for HEP

Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))

18/02/2016, 17:20

15. OpenML: Collaborative machine learning

Dr Joaquin Vanschoren (https://www.tue.nl)

19/02/2016, 15:00

26. Calibration curves as tool to test for over- and underfitting

Dr Artem Vorozhtsov (Yandex)

19/02/2016, 16:10

We present a simple approach to test correctness of bias or regularization strength, or other hyperparameters. The main idea is to fit hyperparameters so that test and train calibration curves after applying proper isotonic regression should intersect at diagonal.

10. Reproducible Experiment Platform & Everware

Aleksei Rogozhnikov (Yandex School of Data Analysis (RU)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

19/02/2016, 16:30

31. Nvidia tutorial

20/02/2016, 11:50

19. TensorFlow introduction & tutorial #1

Rafal Jozefowicz (Google)

20/02/2016, 12:00

Introduction into deep learning, hands-on tutorial and demonstration of TensorFlow using HiggsML challenge dataset.

30. TensorFlow introduction & tutorial. Continuation

Rafal Jozefowicz (Google)

20/02/2016, 13:30