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SUMMARY:FsLab: Doing data science with F# - Tomas Petricek\, University of
  Cambridge
DTSTART:20140805T100000Z
DTEND:20140805T110000Z
UID:TALK53351@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:How to get knowledge from data? We need to access CSV files an
 d REST services\, combine the data while handling missing values\, try dif
 ferent analyses and machine learning algorithms and then build visualizati
 ons to make our point. We need to explore data interactively\, but end up 
 with reproducible scripts that can be easily deployed in production. \n \n
 I’ll demonstrate end-to-end data analysis using FsLab – a cross-platfo
 rm set of data science libraries and tools based on F# that make it easy t
 o perform the entire process with a single tool. Type providers turn exter
 nal data sources into inherent part of your language\; integration with to
 ols like R gives you immediate access to professional packages and HTML5-b
 ased visualization tools produce beautiful results.\n \nAlong the way\, we
 ’ll explore correlations between countries using the WorldBank\, we’ll
  look at survival rate of different passengers on Titanic and we’ll look
  how different political parties contribute to country’s debt.\n
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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