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: http://theory.sinp.msu.ru/pipermail/fedstor/2016q1/000027.html
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fyi Begin forwarded message: From: Andrey Ustyuzhanin <andrey.ustyuzhanin на cern.ch<mailto:andrey.ustyuzhanin на cern.ch>> To: <mlhep-advisors на cern.ch<mailto:mlhep-advisors на cern.ch>> Subject: mlhep announcement Date: March 11, 2016 at 12:51:05 AM GMT+1 Dear all, just in case you happen to know a good mailing list to circulate the school announcement, here is the draft: === Dear Colleagues, This is the first announcement of the Summer School on Machine Learning for High Energy Physics 2016, to be held at Lund, Sweden, June 20-26 2016 as a satellite event of LHC Physics Conference. http://bit.ly/mlhep2016 The primary goal of MLHEP school will be a focused introduction to modern machine learning techniques that could improve physics performance for variety of HEP-related problems. School pays attention to student experience, so along with "hands-on" seminars a dedicated data science competition will be organized. Additionally, the school will include series of talks that show real examples of improvements for particular physics cases due to machine learning techniques. It is ideally suited for advanced graduate students and young postdocs willing to learn how to - formulate HEP-related problem in ML-friendly terms - select quality criteria for given problem - understand and apply principles of widely-used classification models (e.g. boosting, bagging, BDT, neural networks, etc) to practical cases - optimize features and parameters of given model in efficient way under given restrictions - select the best classifier implementation amongst variety of ML libraries (scikit-learn, xgboost, deep learning libraries, etc) - define and conduct reproducible data-driven experiments For further information, including registration procedures, please refer to the Summer School website: http://bit.ly/mlhep2016 or contact mlhep2016 на yandex.ru Early registration deadline is 30 April, 2016. === Thank you in advance, Andrey Ustyuzhanin, YSDA. ----------- следущая часть ----------- Вложение в формате HTML было извлечено… URL: <http://theory.sinp.msu.ru/mailman/private/fedstor/attachments/20160311/a3648cb9/attachment.html>