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Bayesian Machine Learning & Python – Naïve Bayes
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pydata_sv_2013
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Marks
Author(s):
Krishna Sankar
Location
A2
Date
mar Mon 18
Days Raw Files
Start
13:15
First Raw Start
13:13
Duration
01:45:00
Offset
0:01:32
End
15:00
Last Raw End
15:02
Chapters
00:00
0:20:58
0:33:43
Total cuts_time
49 min.
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Bayesian Algorithms are employed in machine learning algorithms including classification, collaborative filtering & recommendation engines. This tutorial introduces the Naïve Bayes and it’s application to classification problems. We will work thru a few problems using pencil & paper as well as Python programming. We will use nltk & publicly available data. It will be a hands-on tutorial – github url for code & slide set http://goo.gl/2DOQX. Please install nltk & download the data.
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