[mlpack] GSoC Project: Collaborative filtering package improvements

[Mudit Gupta]

Hi Osho,

I hope you have gone through the project description here:
http://www.mlpack.org/trac/wiki/SummerOfCodeIdeas#Collaborativefilteringpackageimprovementsand
also the associated wiki page here
http://www.mlpack.org/trac/wiki/cf .

Please try mlpack and the present implementation of cf. This tutorial
http://www.mlpack.org/tutorial.html will help you get started with mlpack
and the cf wiki page talks about cf usage.



On Tue, Mar 11, 2014 at 12:01 AM, Osho Gupta B.Tech., ECE, IIT-BHU,
Varanasi (INDIA) <osho.gupta.ece11 at iitbhu.ac.in> wrote:

> Sir,
>
> I am an Undergraduate student of *Indian Institute of Technology, Banaras
> Hindu University, Varanasi. "IIT-V"*. I am pursuing my B.Tech. in
> Electronics Engineering, currently in the 3rd year.
>
> I have a keen interest in the field of *Machine Learning, Data Mining,
> Natural Language Processing, and Information Retrieval*. Also I have
> worked a lot upon fields like NLP, Speech Synthesis-Recognition and
> Processing, Image and Video Processing, Machine Learning and Neural
> Networks. What I found after working in all these is ML is common to all
> and suits my interest.
>
> I have done online course on Machine Learning (by Andrew NG STANFORD) and
> various other courses on Image Processing, NLP, and Python. I have done
> various projects on Machine Learning including implementation of *Neural
> Networks, SVM, CRF, PCA, K-means Clustering, etc* and have deep knowledge
> in these fields.
> Currently, I am engaged in a research Project over *NLP (Temporal
> analysis of Tweets)*, under guidance of *Dr. Judith Gelerenter, Carnegie
> Mellon University*, since October 2013 which is soon going to complete
> and our work will be made open source after its completion. This project
> involved use of machine learning methods like *SVM and CRF for NLP*.
> Last summer I did an internship in Korea on *Speech Processing* which
> involved *neural networks for Speech recognition.*
> Also, I am involved in a project on *Medical Imaging* under Prof. Rajeev
> Shrivastava of my home university IIT-V. In this we are improving various
> image reconstruction algorithms using *K-Means clustering.*
> Also, I am learning *Deep Learning* for my interest. I am efficient coder
> in *C, C++, Python, Octave and Matlab*.
>
> I am a self-motivated student and I am very interested in contributing
> more and more in field of ML. Now, I want to do some open source
> contributions and GSOC is the best platform to do so. I would like to
> sincerely contribute to MLPack.
>
> I saw the Ideas list of MLPack and project that caught my eye is:
> *>Collaborative filtering package improvements*
> Machine learning is core field of my interest and I am good at it. This
> seems to be a great project to get hands on experience in ML and will
> enable me to contribute to open source. By my past experiences I am trained
> to work alone under mentorship, and I will give my 100% sincere efforts in
> completing whichever task I am given up. I have some prior experience in
> Recommender systems but collaborative filtering is new to me and new things
> are always interesting. I am very keen learner when it comes to know new ML
> algorithms.
>
> Please help me on how should I proceed for GSoC.
> *-Osho Gupta*
> * 3rd Year, B.Tech. **,*
> * Department of Electronics Engineering,*
> * Indian Institute of Technology, Banaras Hindu University,*
> * Varanasi, India*
>
> * Contact no.: +918604221858*
> * Email ID: **osho.gupta.ece11 at iitbhu.ac.in
> <osho.gupta.ece11 at iitbhu.ac.in>*
>                  *osh1234 at ieee.org <osh1234 at ieee.org>*
>
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>
>
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