[Noisebridge-discuss] Tomorrow: Bayesian Inference for Everyone: The (best) Probability of Causes
sam.tepper at gmail.com
Thu Feb 13 00:52:09 UTC 2014
*T**omorrow* at *6:30*, you are invited to join us as we investigate how
to make better inferences using Bayesian heuristics and algorithms.
You are welcome to bring your own data, qnd/or you can take part in
designing and implementing your very own Bayesian spam filter on the
infamous noisebridge-discuss archive.
If you have your own project, you are encouraged to talk about it and/or
work on it as well.
part of our machine learning
Food, beer, and cheer are all greatly appreciated.
On 02/02/2014 08:48 PM, Sam Tepper wrote:
> -------- Original Message --------
> Subject: ml class feb 13 (Thurs): Bayesian Inference for everyone:
> The (Best) Probability of Causes
> Date: Sun, 02 Feb 2014 20:36:16 -0800
> From: Sam Tepper <sam.tepper at gmail.com>
> To: ml at lists.noisebridge.net
> 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,
> 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
> 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
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