Hi Ryan I was able to found the following thread talking about "Fast K-Centre Algorithm"
"Yes, this project would be to design an algorithm, and then spend the summer implementing it. Unfortunately, Google funds students for implementation and not for research," I got to know through the links that dual-tree algorithm is implemented in src/mlpack/methods. So I would be going through out the src package defines above. Can you please share what should be the timeline for this project? Ankit Aggarwal On Wed, Apr 19, 2017 at 10:11 PM, Ryan Curtin <[email protected]> wrote: > On Sun, Apr 16, 2017 at 09:36:15PM +0530, Ankit Aggarwal wrote: > > Hi Mlpack Team > > > > My name is Ankit Aggarwal and I'm interested in contributing to mlpack > > irrespective of GSoC criteria as I have already participated in GSoC 2016 > > and GSoC 2015. > > > > I'm interested in contributing to following projects > > 1) Fast K-Center Algorithm and Implementation > > 2) Reinforcement Learning. > > > > I'm familiar with concepts/working of a neural network as I daily work > with > > them for financial markets prediction models building and analyzing the > > stock market. > > > > Please let me know how to get started other than the reading list as I > > already gone through some of the content. > > Hi Ankit, > > A good place to start learning how to contribute to mlpack would be the > following pages: > > http://www.mlpack.org/involved.html > http://www.mlpack.org/gsoc.html > > For the projects that you suggested, there is a lot written about them > in the mailing list archives. I'd suggest taking a look through the > archives at http://knife.lugatgt.org/pipermail/mlpack/ and reading > through the papers referenced in the list postings about those projects. > > I hope this is helpful; let me know if I can clarify anything. > > Thanks, > > Ryan > > -- > Ryan Curtin | "You know, I think he's got a point." > [email protected] | - The Mayor >
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