Hi Urun, I'm in a very similar situation. I have a background (PhD) in optimization and signal processing and some experience with principal component analysis. I'm fairly comfortable with Java.
I'm also very interested in Mahout, and large scale problems. If we can find a suitable area I would be very happy to work together with you. One area I've been reading more into lately is parallelization of SVM training algorithms, although I'm not sure whether this is a worthwhile direction. Any recommendations would be much appreciated! On Nov 14, 2011, at 1:04 PM, urun dogan <[email protected]> wrote: > Hi All; > > I want to give my congratulation to all of the contributors of the project. > I found the idea of this project so nice and I want to contribute to the > project. > > I am postdoctoral researcher who is involved on developing machine learning > algorithms. During my PhD I have developed several multiclass SVM > > techniques and solvers. Now I am involved in a European Union project which > deals with large scale machine learning problems. I have a 5-6 years of > > C++ development experience and I like developing and implementing new > machine learning techniques (Yes I know that Mahout uses Java :) , I will > try my best) . > > My main expertise are classification, regression and transfer learning. I > have seen several open topics in http://mahout.apache.org/ and these are > > 1) Locally Weighted Linear Regression > > 2) Gaussian Discriminative Analysis > > 3) Independent Component Analysis > > 4) Principal Components Analysis > > 5) Classification with Perceptron or Winnow > > 6) Neural Network > > I am aware that in Jira there are also some open issues. I can work on > anything. I think that before starting > > any kind of coding I need to take the comments of experts in this project? > What do you recommend to me to start with? > > Cheers > > Ueruen
