[Chicago] Machine learning, all the cool kids are doing it.

Valentina Kibuyaga namusoke at hotmail.com
Mon Apr 29 17:34:29 CEST 2013


Matt:
what is the best mode of learning this material?  And, how are you using the knowledge you acquired?  Please specify how the knowledge has helped your career in applying it?

thanks!

Date: Mon, 29 Apr 2013 10:18:25 -0500
From: thatmattbone at gmail.com
To: chicago at python.org
Subject: Re: [Chicago] Machine learning, all the cool kids are doing it.

I went through this course the first time he did it before coursera was born. I can't recommend it enough. It was a good time and I learned a ton. Good luck!



On Mon, Apr 29, 2013 at 10:13 AM, Paul Katsen <pkpp1233 at gmail.com> wrote:

I'd be interested. Especially the python part.
-Paul
On Apr 29, 2013 6:55 AM, "Jason Wirth" <wirth.jason at gmail.com> wrote:


The Coursera Machine Learning class taught by Andrew Ng at Stanford (https://www.coursera.org/course/ml) just started (4/22) and I'm interested if anyone wants to work through it with me. I've taken this course before but only got about half way through it before getting busy and "dropping out."






MOOCs are great, but they lack the community needed to have a successful learning experience. More importantly, learning happens by doing--not by watching videos--whether it's teaching someone else the material, working through problems with a partner, or adapting the problems to be relevant for your projects & internests.  






One of the downsides about the course is that it uses Octave, not Python. Despite that we could easily code the problems in Octave, then port them to Python & Numpy or use equivalent functions in Scikts.learn. 






So this time around I'm hoping to find someone interested in going through it together, particularly with a Python focus. Any takers?


-- 

Jason Wirth

    213.675.5294

    wirth.jason at gmail.com


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