[Noisebridge-discuss] Machine Learning seminars?

karen marcelo karen at srl.org
Wed Dec 10 21:03:49 UTC 2008


+1 !

-karen   

Wednesday, December 10, 2008, 12:57:08 PM, you wrote:

> Superduper plus one.

> On Wed, Dec 10, 2008 at 12:43 PM, Ian <ian at slumbrparty.com> wrote:
>> 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
>>> _______________________________________________
>>> Noisebridge-discuss mailing list
>>> Noisebridge-discuss at lists.noisebridge.net
>>> https://www.noisebridge.net/mailman/listinfo/noisebridge-discuss
>>
>> _______________________________________________
>> Noisebridge-discuss mailing list
>> Noisebridge-discuss at lists.noisebridge.net
>> https://www.noisebridge.net/mailman/listinfo/noisebridge-discuss
>>
> _______________________________________________
> Noisebridge-discuss mailing list
> Noisebridge-discuss at lists.noisebridge.net
> https://www.noisebridge.net/mailman/listinfo/noisebridge-discuss
 




More information about the Noisebridge-discuss mailing list