[mlpack] Regarding participation in GSoC'19 on QGMM

[Subham Barnwal]

Hi,

I  am an third year (Junior) undergraduate student at the Indian Institute
of Technology, Kanpur at the Department of Computer Science and
Engineering.I am highly interested in participating in GSoC on the offering
'Quantum Gaussian Mixture Models'.

I have already implemented GMM(full batch) and it's online version(stepwise
EM) from scratch on MNIST dataset. Please look at my github account
<https://github.com/subham913?tab=repositories>.I have done and currently
doing several courseworks in Machine Learning and have also read a number
of research papers pertaining to fields like EM,Gaussian Processes, Latent
Variable Models(LVMs) and Inference in LVMs for locally conjugate models,VI
for non-conjugate models,Stochastic and Online VI for scalability, MCMC etc.

I went through the suggested paper(Quantum Clustering and Gaussian Mixture)
and it interested me a lot.Apart from what already has been suggested on
the ideas page I would also try implementing its scalable version.Please
let me know if it's interesting and would be feasible.

Thanks and regards,

Subham Kumar

Undergraduate Student

Computer Science and Engineering

Indian Institute of Technology, Kanpur
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