Re: Machine learning support

[Carlo De Falco]

> On 28 Dec 2017, at 16:08, Juan Pablo Carbajal <address@hidden> wrote:
> 
> Hi,
> 
> I work on ML mainly using Python (scikitlearn, mltk, theano, etc) and
> Octave (gpml, stk, optim, etc). I stay away from R when possible. I
> also use C/C++ (Shogun, MLPack, etc...) which many times can provide
> an oct file interface.
> 
> ML as a topic is too wide. You rather focus on one aspect of ML and
> write your package, examples are nnet, fuzzy, gpml.
> If your plan is to do ML on text, I would say that Octave is not the
> best choice, in this cas eI woudl stick to Python.
> 
> Take a look at Julia language as well, there is plenty of packages
> already for that one.
> 
> Cheers

As far as NNET is concerned, there has been a recent GSOC project intended 
to revive the NNET package for Octave last year.

The student and mentor of this project are in CC.

c.