8–12 May 2017
Fermi National Accelerator Laboratory
US/Central timezone
DSHEP@FNAL is the third in a series of workshops dedicated to Data Science in High Energy Physics.  The workshop brings together computer scientists, data scientists, and physicists to explore cutting edge solutions to large-scale computational problems across HEP.  We will look further into machine learning and big data solutions to problems in data analysis, pattern recognition, and model inference. Video connection information: Name: DS_HEP Description: DS@HEP vidyo conference Extension: 10638125 Join video using https://vidyoportal.cern.ch/join/UKpAEhLHAJ Phone numbers: http://information-technology.web.cern.ch/services/fe/howto/users-join-vidyo-meeting-phone
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US/Central
Fermi National Accelerator Laboratory
With the combination of university, corporate, and laboratory sponsorship we have been able to bring together unique perspectives from a diverse set of speakers representing a wide range of scientific and mathematical disciplines to discuss how data science and high energy physics fit together, in terms of both community and practice.