[Noisebridge-discuss] Machine Learning seminars?

[Ian]

i'd be interesting in participating in that. if you want me to run  
some of the lectures or projects/workshops... whatever. i can do that.

i can donate my course notes, books, and research materials on the  
matter.

thanks,

verbal

aim: verbalevasion
jabber: ian at slumbrparty.com
twitter.com/verbiee


On Dec 10, 2008, at 12:27 PM, Josh Myer wrote:

> Would there be any interest in talks on machine learning topics?
>
> I was thinking of walking a group through an implementation of Naive
> Bayes (a classifier, like the ones used for spam detection) to test
> the waters.  If there's interest, I'd then like to move on to
> discussion of other, more advanced things.
>
> Ideally, it would be awesome to put together the "arduino for ML,"
> something that makes ML ideas and implementations accessible to
> non-specialists.
>
>
> Possible source materials:
>
> 1.) Andrew Moore's Statistical Data Mining Tutorials
>
> http://www.autonlab.org/tutorials/
>
> Fun, informative, but missing a little bit since they're lecture
> slides.  I love these slide decks, but they're slightly hard-core.
>
>
> 2.) "Programming Collective Intelligence" by Toby Segaran
>
> http://oreilly.com/catalog/9780596529321/
>
> It's a fun book, but a little shallow for serious practice.  It's also
> light on things outside collaborative filtering; collaborative
> filtering is of limited value for our purposes.  Still a good,
> readable introduction to key ideas, though.
>
> 3.) Data Mining: Practical Machine Learning Tools and Techniques by
>     Witten and Frank
>
> http://www.amazon.com/Data-Mining-Practical-Techniques-Management/dp/0120884070/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1228940709&sr=8-1
>
> I rather like this book, but it's a little heavy for introductions.
>
> I'm also open to suggestions from others; my background is mostly
> second-hand from practitioners.
> -- 
> Josh Myer   650.248.3796
>  josh at joshisanerd.com
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