[mlpack] Participation in GSoC 2018

[Marcus Edel]

Hello Artem,

thanks for getting in touch.

> My name is Artem Fedoskin. I have already written to this mailing list but I
> think it would be good to introduce myself. I study a Master's Degree in Data
> Analytics at University of Hildesheim (Germany). I have already participated in
> GSoC 2016 in KDE with the project that involved C++ and Qt framework (KStars
> Lite).

That sounds interesting, can you tell us more about the project you worked on?

> Is it possible that more than one student will work on Deep Learning Modules? We
> could implement different algorithms.

Yes, that's possible, note that the models on the ideas page are just
suggestions, if you like to implement another interesting model please feel free
to start a discussion.

> Apart from Deep Learning I'm very interested in collaborative filtering. Our
> lectures have already covered some of the main concepts and I'm very interested
> in that area.

There is definitely room to extend/improve the existing collaborative filtering
framework, there might even be the option to combine deep learning with
collaborative filtering: https://github.com/robi56/Deep-Learning-for-
Recommendation-Systems

> I have compiled mlpack and tried several examples. I'm currently looking at what
> I could do on GitHub but I would be very grateful if you could point me to some
> issue related to the projects I'm interested in.

We are trying to add new entrance issues over the next days, in the meantime,
you can always glance over the codebase and perhaps think about ways to improve
or extend a specific method.

I hope some I said was helpful, let us know if we should clarify anything.

Thanks,
Marcus

> On 5. Feb 2018, at 02:41, Artem Fedoskin <afedoskin3 at gmail.com> wrote:
> 
> Dear developers of mlpack,
> 
> My name is Artem Fedoskin. I have already written to this mailing list but I think it would be good to introduce myself. I study a Master's Degree in Data Analytics at University of Hildesheim (Germany). I have already participated in GSoC 2016 in KDE with the project that involved C++ and Qt framework (KStars Lite).
> 
> Indeed I'm very interested in Machine Learning and I was very happy to find your library. Though now I primarily use Python for Data Science purposes, I would be very happy to use my C++ knowledge for Machine Learning.
> 
> I'm particularly interested in following projects:
> 1. Essential Deep Learning Modules
> 2. Alternatives to neighborhood-based collaborative filtering
> 3. Reinforcement Learning
> 
> Is it possible that more than one student will work on Deep Learning Modules? We could implement different algorithms.
> 
> Apart from Deep Learning I'm very interested in collaborative filtering. Our lectures have already covered some of the main concepts and I'm very interested in that area.
> 
> I have compiled mlpack and tried several examples. I'm currently looking at what I could do on GitHub but I would be very grateful if you could point me to some issue related to the projects I'm interested in.
> 
> Regards, Artem Fedoskin
> _______________________________________________
> mlpack mailing list
> mlpack at lists.mlpack.org
> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://knife.lugatgt.org/pipermail/mlpack/attachments/20180205/c5ff8e2d/attachment-0001.html>