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Big Data Analysis in Astronomy

The XXX Canary Islands Winter School of Astrophysics, organized by the Instituto de Astrofísica de Canarias (IAC), focusses on Big Data Analysis in Astronomy. The School will admit around 60-70 PhD students and young Post-Docs. In a relaxed environment, the School will give participants the opportunity to learn from world-renowned specialists about the techniques used in Astronomy in the analysis of Big Data. Lectures will be complemented by tutorials consisting in implementing small projects with a design and scope based on what the students will learn during the machine learning lectures. Participants of the Winter School will have the opportunity to highlight their current work by presenting a poster. The duration of the school, including the visits to the observatories, is equivalent to a total of 30 hours (3.0 academic credits).
When 04 November 2018 11:50 PM to
10 November 2018 11:50 PM
Where Tenerife ES
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  • General overview on the use of machine learning techniques in astronomy: past, present and perspectives. (Prof. S. George Djorgovski)
  • Data challenges and solutions in forthcoming surveys. (Prof. Zeljko Ivezic)
  • Machine learning methods for non-supervised classification and dimension reduction techniques. (Dr. Dalya Baron.)
  • Supervised learning: classification and regression. (Prof. Michael Biehl)
  • Deep learning. (Dr. Marc Huertas-Company)

More information about this event…