[ml] ML meetup: sociological datasets (Thursday 1/19 @ 6:30pm)

[Mike Schachter]

Hi David - I try to teach workshops at a level
where if you know a bit of programming and
a bit of mathematics, then you can get some
intuition and start working with data. But... there's
always a learning curve!

Regardless, I'm sitting in the Church room right
now, you should stop in.

  mike



On Thu, Jan 19, 2012 at 4:11 PM, David Knupp <knupp at well.com> wrote:

> Hi all,
>
> Just an brief introduction, and a question. I'm developing an interest in
> machine learning, but I'm pretty much a complete ML newbie. I started
> trying to take the class being offered by Stanford last quarter, but the
> insanity of the holidays plus various end-of-year job-related deadlines all
> combined to make it pretty much a hopeless venture. I have much higher
> hopes this next time around. (I believe the class starts up again on the
> 23rd.)
>
> I'm an artist-turned-QA engineer by day, and fairly handy with python and
> perl, though I don't have any experience with R. I don't have an extensive
> math background, but I didn't find the math in the ML class too hard to
> follow along with.
>
> I don't know what kind of things this group covered in the past. I'm
> wondering whether there's a place of the uninitiated like myself.
>
> In any event, I may try to stop by this evening.
>
> Thanks,
> --d.
>
>
>
> On Thu, 19 Jan 2012, Mike Schachter wrote:
>
>  Hey everyone, I'll be 15-30 minutes late to the ML meetup
>> tonight. See you then (by 7:00pm)!
>>
>>   mike
>>
>>
>> On Mon, Jan 16, 2012 at 6:03 PM, Mike Schachter <
>> mschachter at eigenminds.com> wrote:
>>      Hello everyone!
>>
>>      I'm keen on restarting the machine learning
>>      meetups this year. Here's our wiki page for
>>      the uninitiated:
>>
>>      https://www.noisebridge.net/**wiki/Machine_Learning<https://www.noisebridge.net/wiki/Machine_Learning>
>>
>>      My focus on data this year will be sound
>>      and government&census data, and applications
>>      relevant to Noisebridge itself.
>>
>>      Sound because I work with brain cells in the auditory
>>      system, and government data because there's
>>      a potential treasure trove of very relevant machine
>>      learning applications for data accessible online,
>>      with potential to for helping our crumbling democracy
>>      and such.
>>
>>      So this Thursday, 6:30pm, in either the Church
>>      or Turing room, come over and help me brainstorm
>>      some ideas for datasets to work with. Next week
>>      I'm going to teach a workshop on Random Forests
>>      in R.
>>
>>      Some sites with datasets I'm looking through:
>>
>>      http://fec.gov/
>>      http://www.opensecrets.org/
>>      opengovernment.org
>>      http://thomas.loc.gov
>>      http://openstates.org/
>>      http://www.votesmart.org/
>>      http://www.opencongress.org/
>>      http://www.govtrack.us/
>>      http://www.census.gov
>>
>>
>>
>>
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