Sure Udaykiran, why not! Let finalize on what we should implement though this mail chain.
regards, thanks & best regards, Ankit Sharma Data Science Professional _______________________ Mobile: +91-9632383141 Email: [email protected] Skype: aksharma11588 LinkedIn <http://in.linkedin.com/in/aks11588/> | Digg Data <http://www.diggdata.in/> | about.me <http://about.me/ankitksharma> On Thu, Sep 11, 2014 at 7:31 PM, uday kiran <[email protected]> wrote: > Hi Ankit, > > I am also interested in contributing to open source projects. > > I am waiting for the opportunity.I am a java developer having 4 years of > experience. > > If you wish to include me in any development related issues and new > requirements i am ready work. > > Regards, > Udaykiran M > > On Thu, Sep 11, 2014 at 8:24 AM, Ankit Sharma <[email protected] > > wrote: > >> Hi Dmitriy, >> >> Did you mean something like implementing *"Strassen algorithm"* for matrix >> >> multiplication? >> >> thanks & best regards, >> >> Ankit >> >> On Wed, Sep 10, 2014 at 10:59 PM, Dmitriy Lyubimov <[email protected]> >> wrote: >> >> > The biggest problem today (in my opinion) is mahout-math. >> > >> > (1) cost/type based optimization of matrix-matrix multiplication >> > (2) cost/type based optimization of elementwise matrix-matrix operations >> > >> > There is already some work done there, especially in the realm of >> > vector-vector opreations, so matrix-matrix operations that work with >> > matrices backed by a set of vectors, should naturally benefit from that. >> > >> > Other two noble goals have been: >> > >> > (3) jBLAS backed matrices, including a part of (1) and (2) >> > (4) JCuda backed matrices, including as a part of (1) and (2) >> > >> > Otherwise, if you are interested in writing yet-another quasi-algebraic >> > solver methodology, it is a second priority but would be welcome >> provided >> > you provide references to principled approach and its adaptation to >> scaled >> > operations strategy, for review, and as long as long as preferrably this >> > method is not yet part of MLib in spark. >> > >> > -d >> > >> > >> > >> > On Wed, Sep 10, 2014 at 10:14 AM, Ankit Sharma < >> > [email protected]> >> > wrote: >> > >> > > Hello, >> > > >> > > I have been an user of Mahout for quite sometime now and got really >> > exited >> > > when I heard mahout is moving to Spark. Today I played around with >> Linear >> > > Regression example and browsed some of the spark Machine Learning(ML) >> > code. >> > > It was really interesting to see how intuitive the entire process is. >> > > >> > > I have background in data science model building and I would like to >> > > contribute in the development process. So, I would like to get some >> > advice >> > > on what has already been completed on ML side and from where I can >> start? >> > > >> > > I have couple of ideas like I can start with either some >> classification >> > > algorithm like SVM or build(enhance) some simple building blocks. You >> can >> > > throw in your suggestions and I'll be see which one falls into my >> domain, >> > > and try to work on them. >> > > >> > > thanks & best regards, >> > > >> > > Ankit Sharma >> > > Data Science Professional >> > > _______________________ >> > > Mobile: +91-9632383141 >> > > Email: [email protected] >> > > Skype: aksharma11588 >> > > LinkedIn <http://in.linkedin.com/in/aks11588/> | Digg Data >> > > <http://www.diggdata.in/> | about.me <http://about.me/ankitksharma> >> > > >> > >> > >
