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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.<br>
<br>
Bayes rule "cracked the Enigma code, hunted down Russian submarines,
and emerged...from two centuries of controversy"!<br>
<br>
Bayesian inference is about how to use Bayes rule (and its
generalizations) to make decisions and conduct optimal rational
inquiry.<br>
<br>
We'll be looking at data sets of your choice. Add you info <a
href="https://noisebridge.net/index.php?title=Machine_Learning&action=edit§ion=8">here</a>
or contact <a href="cubicgoats@gmail.com">Mike</a> 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.<br>
<br>
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).<br>
<br>
Class starts at 6:30 (7 sharp). Please bring food, beer, and/or
good cheer. <br>
<br>
-Sam<br>
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