https://cwiki.apache.org/confluence/display/MAHOUT/How+To+Contribute has some 
tips, ideas, etc.  It's usually best to start with a few small patches to get 
your feet wet w/ the development process.  


On Nov 14, 2011, at 7:44 PM, Raphael Cendrillon wrote:

> 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

--------------------------------------------
Grant Ingersoll
http://www.lucidimagination.com



Reply via email to