[ml] Linux image for ML Course?

Nitin Borwankar nborwankar at gmail.com
Sun Apr 7 05:58:11 UTC 2013


yes that is the Caltech Course we are talking about.  this is the Coursera
course https://www.coursera.org/course/ml


------------------------------------------------------------------
Nitin Borwankar
nborwankar at gmail.com


On Sat, Apr 6, 2013 at 2:38 PM, Mike Williams <merwanwilliams at gmail.com>wrote:

> Is this the class you folks are talking about?
>
> http://work.caltech.edu/telecourse.html
>
> On Sat, Apr 6, 2013 at 1:46 PM, John Ellis <neurofog at gmail.com> wrote:
>
>> 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
>>>
>>
>> _______________________________________________
>> ml mailing list
>> ml at lists.noisebridge.net
>> https://www.noisebridge.net/mailman/listinfo/ml
>>
>>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.noisebridge.net/pipermail/ml/attachments/20130406/2faa4412/attachment.html>


More information about the ml mailing list