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EFI Data Analytics for Physics

30 October 2017 to 1 November 2017
America/Chicago timezone

Contribution List

21 out of 21 displayed
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  1. 5. Introduction and round table
    David Miller (University of Chicago (US))
    30/10/2017, 10:00
  2. 6. Discussion of projects for the workshop
    30/10/2017, 10:20
  3. 18. Integrative Cyberinfrastructure for the EFI
    Robert William Gardner Jr (University of Chicago (US))
    30/10/2017, 10:40
  4. 7. Brief introduction to modern data analysis environments
    Dr Benedikt Riedel (University of Chicago)
    30/10/2017, 10:50
  5. 8. Hands-on session with Python, Jupyter Notebooks, and ROOT
    Giordon Holtsberg Stark (University of Chicago (US))
    30/10/2017, 11:10

    Make sure to sign up for a particular JupyterLab instance.

    Then navigate to that instance by typing the URL into your browser. The password for JupyterLab is written on the board in the room.

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  6. 1. Introduction to pattern recognition algorithms and Machine Learning
    Ben Nachman (Lawrence Berkeley National Lab. (US))
    30/10/2017, 13:00
  7. 2. Hands-on: 1D optimal classifier, e.g. a Gaussian process classifier, compared with a simple Neural Network
    Ben Nachman (Lawrence Berkeley National Lab. (US)), Mats Joakim Robert Olsson (University of Chicago (US))
    30/10/2017, 13:45
  8. 3. Advanced machine learning application in high energy physics
    Ben Nachman (Lawrence Berkeley National Lab. (US))
    30/10/2017, 15:00
  9. 4. Keras deep learning images
    Mats Joakim Robert Olsson (University of Chicago (US))
    30/10/2017, 15:45
  10. 9. Demo: Balancing a pole using "Reinforcement Learning"
    Mats Joakim Robert Olsson (University of Chicago (US))
    30/10/2017, 16:35
  11. 19. Introduction to statistical analysis tools
    Maximilian J Swiatlowski (University of Chicago (US))
    31/10/2017, 09:30

    Counting experiments: RooStats / HistFitter
    Spectrum experiments: BumpHunter

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  12. 20. Hands-on with HistFitter for counting experiments
    Maximilian J Swiatlowski (University of Chicago (US))
    31/10/2017, 09:55
  13. 21. Data visualization with ROOT, D3, Bokeh, and HoloViews
    Teodora Szasz (University of Chicago Research Computing Center)
    31/10/2017, 10:40
  14. 10. Introduction to distributed computing
    Lincoln Bryant (University of Chicago (US))
    01/11/2017, 09:30
  15. 11. Hands-on session with OSG Connect
    Benedikt Riedel (University of Chicago)
    01/11/2017, 09:50
  16. 12. Introduction to Elasticsearch
    Ilija Vukotic (University of Chicago (US))
    01/11/2017, 10:45
  17. 13. Hands on: using Elasticsearch for ML
    Ilija Vukotic (University of Chicago (US))
    01/11/2017, 11:05
  18. 14. Run jobs on distributed computing
    01/11/2017, 13:00
  19. 15. MVA and/or machine learning examples
    01/11/2017, 13:20
  20. 16. Visualizations
    01/11/2017, 13:50
  21. 17. Wrap up
    01/11/2017, 14:10

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