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Heavy Flavour Data Mining workshop

18–20 Feb 2016
University of Zurich, Irchel Campus
Europe/Zurich timezone

Session

Machine Learning tools & tutorials

18 Feb 2016, 15:00
Y16 G15 (University of Zurich, Irchel Campus)

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

Presentation materials

There are no materials yet.

  1. 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
    Go to contribution page
  2. 7. Boosting applications for HEP
    Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
    18/02/2016, 17:20
  3. 15. OpenML: Collaborative machine learning
    Dr Joaquin Vanschoren (https://www.tue.nl)
    19/02/2016, 15:00
  4. 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.
    Go to contribution page
  5. 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
  6. 31. Nvidia tutorial
    20/02/2016, 11:50
  7. 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.
    Go to contribution page
  8. 30. TensorFlow introduction & tutorial. Continuation
    Rafal Jozefowicz (Google)
    20/02/2016, 13:30
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