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
