Hi everyone, I am Pan Deng, a Ph.D. student from Memorial Sloan Kettering Cancer Center, New York. I would like to have the chance to join GSoC and Shogun!
I have been learning algorithms and large dataset processing in Python/Matlab/R/Java/C++. I am especially interested in C++ programing (a very efficient language but relatively hard to be expertised in) and machine learning (who isn't nowadays!) So Shogun seems to be the best place for me! I have some thoughts/questions about the following ideas, and I would love to get advice from you. *- Shogun Detox* I have no experience on large projects, which seems to be my drawback for this project. However, on the other hand, I would like to learn how to organize large projects, so I will be super patient with the work. Also, I have been following C++ Primer for C++11, so I can help with codes upgrade. I am wondering how proposal will be like for this project. I am guessing I can plan for one subproject per week? *- Fundamental Machine Learning Algorithms/ Large-scale Approximate Kernel Methods* I have had ML course on Coursera, and knowing that this course is too entry, I am taking a Biomedical Machine Learning course offered by our graduate school from late March. This course will be quite practical and we will have several projects to work on. The course will introduce approximate Bayesian computation, Kaplan-Meier estimator, convolutional neural network and so on. I am expecting to be more experienced in ML and help you with the algorithm improvement. Yet realizing that the first project is quite popular, I would like to give a shot for Kernel Methods Implementation. I have learned about SVM/PCA but pretty basic, though I believe I can learn very fast. So I am wondering how much do you expect from the candidate for Kernel Methods project and how likely you'll carry out this project this year? Sorry for making this mail so long and thanks for your reading! Best, Pan Deng
