[ml] ml class feb 13 (Thurs): Bayesian Inference for everyone: The (Best) Probability of Causes

[Sam Tepper]

Join us for a night of statistics and machine learning for all levels of
skill and comfort at the fabled hacker heritage site in SF, Noisebridge.

Bayes rule "cracked the Enigma code, hunted down Russian submarines, and
emerged...from two centuries of controversy"!

Bayesian inference is about how to use Bayes rule (and its
generalizations) to make decisions and conduct optimal rational inquiry.

We'll be looking at data sets of your choice.  Add you info here
<https://noisebridge.net/index.php?title=Machine_Learning&action=edit&section=8>
or contact Mike <cubicgoats at gmail.com> if you want to add your data set
to our git repository, and discuss/collaborate on your data for the
class.  I may also provide data I've acquired from some interesting
external sources.

If you're using Bayesian statistics or would like to use Bayesian
statistics on your own, we will also talk about best practices and
powerful tools that everyone can use (such as may be found in some
Python libraries and AI algorithms).

Class starts at 6:30 (7 sharp).  Please bring food, beer, and/or good
cheer. 

-Sam
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