thanks, Grant. I will learn more about MapReduce these days, and i will read through all mails on the dev mailing list. I will surely submit a proposal, and hope i will be the lucky dog.
Another question, this project is all about the ML algorithm itself? all we will deal with is feature vectors/matrix constructed already? that is, the project will not include feature selection part of ML, e.g. extracting feature vector from a document collection? On Fri, Mar 21, 2008 at 3:21 AM, Grant Ingersoll <[EMAIL PROTECTED]> wrote: > > On Mar 20, 2008, at 12:15 PM, Hao Zheng wrote: > > > hi all mahout devs, > > > > I am interested in your idea on GSoC, mahout-machine-learning. > > > > I am a graduate student at SJTU, Shanghai, China. My research > > interests include Social Annotation, Information Retrieval, Web > > Mining, Semantic Web, Web 2.0, etc. Statistical Learning and Machine > > Learning are the fundamental knowledge to me. I have had the course: > > > > Machine Learning (textbook: Machine Learning, Tom Mitchell, McGraw > > Hill, 1997. > > http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077) > > > > ,and Statistical Learning (textbook: The Elements of Statistical > > Learning > > T Hastie, R Tibshirani, J Friedman, Springer, 2001). > > > > I have read the incubator proposal, and I believe that Naive Bayes, > > Neural Networks, Logistic Regression, Locally Weighted Linear > > Regression, and k-Means are easy for me to implement, as a > > single-machine program. I have learned SVM, PCA, ICA, EM, and GDA, > > too. But I am not sure whether I could implement them easily, for the > > advanced mathamatics behind them. Do you require the candidates to > > implement all the algorithms mentioned above? I really want to have a > > try here. > > > > I don't think you need to implement them all. I'd say pick one or > more that your find interesting, unless you think you can do all of > them on a M/R framework in that period of time. Also feel free to > suggest a different ML algorithm. > > The main thing to do is pick what you think you can do in that time > frame and make a proposal, I guess. I think we are all a bit new to > GSOC here, so we'll discover as we go, I guess. > > At any rate, your backgrounds sounds appealing, so please do submit a > proposal. > > -Grant >
