9-13 November 2015
Europe/Zurich timezone
There is a live webcast for this event.

Reusing ML tools and approaches for HEP data analysis

12 Nov 2015, 09:45
222/R-001 (CERN)



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


In my talk I'm going to give an overview of the ML tools/services Yandex School of Data Analysis (YSDA) team has developed. In particular I will focus on approaches that our team has developed during collaboration with LHCb on HEP data analysis (uGB+FL, GB-reweighting). Each approach is implemented within hep_ml Python package. To get acquainted with this tool you can install it right away in your environment or experiment with it within Reproducible Experiment Platform. I will give initial guidance how you can get started playing with it.

Presentation Materials

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