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DTSTAMP:20260706T013125Z
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DTSTART:20210225T074500Z
DTEND:20210225T160000Z
DESCRIPTION:Annotation\n\nData Science\, Machine Learning\, and Big Data ar
 e predominantly driven by Python. This one day course provides an insight 
 into the most common Python extensions used to manage large data sets with
  Pandas\, run distributed computations on HPC clusters with Dask\, and lev
 erage classical Machine Learning with scikit-learn.\n\nTarget audience: Da
 ta Scientists\n\nLevel\n\nbasic-intermediate\n\nLanguage\n\nEnglish\n\nAbo
 ut the tutor(s)\n\nStanislav Böhm completed his PhD study in 2014. He is 
 currently a senior researcher at IT4Innovations National Supercomputing Ce
 nter (the Czech Republic) in the area of distributed systems\, verificatio
 n\, and machine learning.\n\nGeorg Zitzlsberger is a research specialist f
 or Machine and Deep Learning at IT4Innovations. He has for over two years 
 been certified by NVIDIA as a University Ambassador of the NVIDIA Deep Lea
 rning Institute (DLI) programme. This certification allows him to offer NV
 IDIA DLI courses to academic users of IT4Innovations' HPC services. In add
 ition\, in collaboration with Bayncore\, he is a trainer for Intel HPC and
  AI workshops and conferences carried out across Europe. He has been contr
 ibuting to these events\, which are held for audiences from industry and a
 cademia\, for four years.\n\nAcknowledgements\n\n\n \n\nThis event is par
 tially supported by The Ministry of Education\, Youth and Sports from the 
 Large Infrastructures for Research\, Experimental Development and Innovati
 ons project  “e-Infrastruktura CZ – LM2018140”\, partially by the P
 RACE-6IP project - the European Union’s Horizon 2020 research and innova
 tion programme under grant agreement No. 823767 and by the ExaQUte project
  - the European Union’s Horizon 2020 research and innovation programme u
 nder grant agreement No. 800898.\n\n \nhttps://events.prace-ri.eu/event/1
 155/
SUMMARY:[ONLINE]  Python and scikit-learn for HPC @ IT4Innovations
URL;VALUE=URI:https://events.prace-ri.eu/event/1155/
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