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Bayesian statistics made simple
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psf
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pycon2013
--room MissionCityM1 2095 --force
Next: 11 An Introduction to scikit-learn: Machine Learning in Python
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Marks
Author(s):
Allen Downey
Location
Mission City M1
Date
mar Wed 13
Days Raw Files
Start
13:20
First Raw Start
13:09
Duration
03:20:00
Offset
0:10:11
End
16:40
Last Raw End
16:41
Chapters
00:00
0:13:31
0:16:37
0:22:25
0:25:19
0:33:24
0:33:45
0:42:32
0:46:58
0:48:34
1:02:19
1:03:11
1:24:21
1:42:35
1:43:07
1:55:09
1:59:58
2:19:01
Total cuts_time
143 min.
https://us.pycon.org/2013/schedule/presentation/21/
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An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know some Python have a head start. We will use material from Think Stats: Probability and Statistics for Programmers (O’Reilly Media), and Think Bayes, a work in progress at http://thinkbayes.com.
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