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SUMMARY:Probability and Prejudice: Bridging the Gap Between Machine Learni
 ng and Programming Languages - Neil Toronto\, University of Maryland
DTSTART:20150417T120000Z
DTEND:20150417T130000Z
UID:TALK58962@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Probabilistic programming languages are often thought of as a 
 point of intersection between machine learning and programming languages. 
 While this is true in some respects\, they mostly occupy a gap between the
  two research areas. Technically\, correctly running all probabilistic pro
 grams requires different algorithms\, formalisms and theory than than are 
 commonly used in either area. Culturally\, the gap is perhaps wider: each 
 area has its own vocabulary\, ideals\, standards of rigor\, and motivation
 s\, which are often at odds.\n\nIn this talk\, I'll describe how I crossed
  the gap from machine learning to programming languages\, and how I'm buil
 ding a bridge back to the other side.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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