[Noisebridge-discuss] [ml] ML meetup: sociological datasets (Thursday 1/19 @ 6:30pm)
David Knupp
knupp at well.com
Fri Jan 20 00:11:04 UTC 2012
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
>
> 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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