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SUMMARY:&quot\;Coding your way out of a paper bag&quot\; - Frances Buontem
 po\, Bloomberg
DTSTART:20151125T130000Z
DTEND:20151125T141500Z
UID:TALK61471@talks.cam.ac.uk
CONTACT:Jan Samols
DESCRIPTION:Many of us have heard programmers complain “They couldn’t 
 even program their way out of a paper bag\,” \n\nFew have wondered what 
 that might actually mean. Frances Buontempo asked herself exactly that que
 stion a few years ago. Since then she has given a couple of talks at the A
 CCU conference and written articles for their Overload magazine demonstrat
 ing ways in which it is possible to program your way out of a paper bag\, 
 often using machine learning.\n\nThis talk will revise the basics of Monte
  Carlo models (which are used in a variety of areas from areas from financ
 e to epidemiology) and consider when they are appropriate. In particular\,
  it will demonstrate standard and geometric Brownian motion\, showing vari
 ous approaches to diffusing one's way out of a paper bag. \n\nThough a bit
  frivolous sounding\, programming one's way out of a paper bag gives a con
 crete application to these otherwise potentially abstract concepts.\n\n\n\
 n\n
LOCATION:FW26\, Computer Laboratory
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