[ml] Linux image for ML Course?

[John Ellis]

The MATLAB requirement is almost a show-stopper. With some "skill" it may
be possible to convert over to GNU Octave or similar, but Python ML/Math
libraries are more accessible and easier learning curve than MATLAB/Octave
would be.

As I recall last time, Jared created a VirtualBox image with Linux & Python
libraries preinstalled. If there is enough interest, I could do the same
for this round.

Cheers!
-John

On Fri, Apr 5, 2013 at 10:33 PM, Nitin Borwankar <nborwankar at gmail.com>wrote:

> I am also interested in a study group for the Caltech class.
>
> The Stanford one taught at Coursera was very "application" oriented.  The
> Caltech one is strong on theory but also has some practical aspects.
> Probably more like the Stanford one taught at Stanford. IIRC there are two
> versions the Coursera one has an "a" suffix which means it's focused on
> "applications" not theory.
>
> Also the Stanford one required MATLAB for problems.  The Caltech one lets
> you use whatever language you want.
>
> Nitin
>
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