[Noisebridge-discuss] Machine Learning seminars?

[Jeremy K]

well, there's always the Netflix challenge.  http://www.netflixprize.com/

but I'm interested in unsupervised questions, too -- my work is in
natural language processing and I'm really curious about what sorts of
patterns emerge from unsupervised techniques (clustering, LDA, PCA,
etc).

--jeremy

On Wed, Dec 10, 2008 at 2:11 PM, Praveen Sinha <dmhomee at gmail.com> wrote:
> I'm for sure down for it -- maybe we should get a night together in the
> upcoming weeks for all of us stat/machine learning nerds to sit down and
> implement something?  We need some cool datasets to work off of!  Anyone
> have any ideas?
>
>
> On Wed, Dec 10, 2008 at 12:27 PM, Josh Myer <josh at joshisanerd.com> 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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>
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