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Practical Machine Learning in Python
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psf
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pycon_2012
--room E1 711 --force
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Marks
Author(s):
Matt Spitz
Location
Track II (E1)
Date
mar Fri 09
Days Raw Files
Start
12:10
First Raw Start
12:09
Duration
00:30:00
Offset
0:01:00
End
12:40
Last Raw End
12:41
Chapters
00:00
Total cuts_time
29 min.
http://us.pycon.org/2012/schedule/presentation/119/
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There are a plethora of options when it comes to deciding how to add a machine learning component to your python application. In this talk, I'll discuss why python as a language is well-suited to solving these particular problems, the tradeoffs of different machine learning solutions for python applications, and some tricks you can use to get the most out of whatever package you decide to use.
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