[sudo-discuss] math and machine learning classes

[Max Klein]

Mike,

I would be a potential student and teacher for your ideas. I wonder if you
could tell of any success you've had in the past with teaching Math in the
Hackespace? I've been a part on and off of Math Education at Sudo Room and
have a Bachelor's in Math. From my perspective, Mathematics, is really
difficult to teach and learn outside of the School or University, because
it's so prerequisite based. Each new theorem builds on the last. I feel
like I personally have hit a wall with how we can teach math at a
Hackerspace that isn't one-on-one student/master. I'd love to see new
approaches and break the traditional academic mindset of how this is
learned, and am all ears.

Max


On 1 November 2013 10:48, Mike Schachter <mschachter at eigenminds.com> wrote:

> Hi sudoroom! A little while back I mentioned an interest in starting
> classes that work towards data literacy, and wanted to give an update with
> some ideas and plans, with the hope that people who are interested in
> helping out or already doing similar things would come out of the woodwork.
>
> First - I've heard about the morning math meetups through the list and
> think it sounds great. My partner and I want to teach a hands-on curriculum
> for "Math Literacy" to interested people of all educational backgrounds. It
> would include everything from arithmetic to algebra to geometry,
> trigonometry, and calculus. I'm hoping to even have a basic introduction to
> plotting functions and working with arrays using web-based python terminals.
>
> I want to find interested students and teachers, so if any of this appeals
> to you, please let me know! I'm going to make a trip out to sudoroom
> probably in two weeks, perhaps we could meet up and talk about it. I'll be
> at Noisebridge this Tuesday as well.
>
> Second - I'm going to restart machine learning classes at Noisebridge, and
> am also looking for interested students and teachers. The ML wiki page,
> along with a link to join the mailing list, is here:
>
> https://www.noisebridge.net/Machine_Learning
>
> See you soon,
>
>   mike
>
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