Hi,
apart from organizing Gsoc for Boost C++, I'm also mentor for uBLAS and I
proposed the topic on statistical functions.
Ideally, I expect 2 things are the very beginning from potential students:
(1) to do the competency test and return it when it looks perfect (it's not
a speed game but rather a quality game),
(2) to start working on a real fully-featured proposal, with description of
the work, plannig, ressources, etc...
You can send it to me directly because, as I said, I'm mentoring for uBlas
too.
Best,
David
On Sun, Jan 28, 2018 at 4:15 AM, Kanch via Boost
Dear community:
My name is Long Zhang,currently in my third year of college. As subject suggests, I'm interested in adding statistics and machine learning functions to Boost.uBLAS library.
I've basic knowledge of statistics (which I have been thought in school) and Machine Learning, I learned Machine Learning by Andrew Ng on Coursera, and I have tried to implement algorithms like PCA,LDA,K-means in Python, therefore, I think it won't be a problem if I have to implements it in C++. BTW, I have use C++ since my Senior High. Except components mentioned in wiki, I think I can also implement algorithms like KNN,Logistic Regression, even SVM during the summer. I also understand the efficiency of these algorithms is what matters, I will try hard to implement it as fast as it can.
I know I have do some kind of programming competency test. When should I start? I mean I haven't find a mentor, don't know who should I contact if I finish the test. Can someone mentoring me? We can then talk about the test and code I used written in C++(open source code in C++) to check if I'm qualified to this project.
Thank you.
Best,
Long -- Best regards,
*Long Zhang (Kanch) http://akakanch.com *＠ Chengdu University of Information Technology 2015 Computer Science Major Mail:kanchisme@gmail.com No.24 Block 1, Xuefu Road, Chengdu, Sichuan, China
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