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 &lt;cubicgoats(a)gmail.com&gt; 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