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Thursday 07th May 2015 from 11:00 (Europe/Zurich)

WMO Secretary-General introduces WMO to the CERN internal audience

by Mr. Jarraud Michel

This is the second in the “International Geneva comes to CERN” series of seminars, which aims to present other Geneva-based international organisations to CERN’s internal audience. At his seminar, Michel Jarraud, the WMO Secretary-General, will discuss the many fields for which the WMO provides world leadership expertise. They include weather, climate, hydrology and water resources, as well as all the related environmental issues. CERN People are *not* required to register.

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WMO Secretary-General introduces WMO to the CERN internal audience
This is the second in the “International Geneva comes to CERN” series of seminars, which aims to present other Geneva-based international organisations to CERN’s internal audience. At his seminar, Michel Jarraud, the WMO Secretary-General, will discuss the many fields for which the WMO provides world leadership expertise. They include weather, climate, hydrology and water resources, as well as all the related environmental issues. CERN People are *not* required to register.
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Higgs Machine Learning Challenge visits CERN

The Higgs Machine Learning challenge (HiggsML https://higgsml.lal.in2p3.fr) ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal. The participation was overwhelming with more than 1700 teams, Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge to date. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics. A mailing list HEP-data-science@googlegroups.com has just been created to deal with anything concerning both HEP and Data Science, in particular Machine Learning. Announcement/discussion about challenges, workshops, relevant papers, tools, etc... Subscription by sending a mail to HEP-data-science+subscribe@googlegroups.com.

Share this event
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Higgs Machine Learning Challenge visits CERN
The Higgs Machine Learning challenge (HiggsML https://higgsml.lal.in2p3.fr) ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal. The participation was overwhelming with more than 1700 teams, Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge to date. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics. A mailing list HEP-data-science@googlegroups.com has just been created to deal with anything concerning both HEP and Data Science, in particular Machine Learning. Announcement/discussion about challenges, workshops, relevant papers, tools, etc... Subscription by sending a mail to HEP-data-science+subscribe@googlegroups.com.
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