13:07 < yogesh> hello

13:10 < zoq> yogesh: Hello there

13:12 < yogesh> I'm new to open source community, and would like to contribute, it would be great to be guided

13:13 < zoq> yogesh: Have you seen http://www.mlpack.org/involved.html ? That might be a good place to get started.

13:14 < zoq> yogesh: Also, if you would like to implement machine learning algorithms that mlpack currently doesn't have, contributions like that are more than welcome.

16:39 < gsoc_en> hi! I was wondering if mlpack is applying as an organiser for gsoc 2017?

16:42 < zoq> gsoc_en: Hello there, yes.

16:47 < gsoc_en> awesome!

16:48 < gsoc_en> I wouldn't say I am great at ML....but I would really like to get my hands dirty, because I am really interested in ML

16:49 < gsoc_en> Do you have any pointers as to where I can get started?

16:49 < gsoc_en> I am aware of a few instructions given here (http://www.mlpack.org/involved.html)

16:49 < gsoc_en> But do you have any personal advice?

16:53 < zoq> I would also take a look at the issues on Github; But I see there are not very many right now; We are going to add more in the next days.

16:53 < zoq> Also If you have implemented any new algorithms in your previous work we

16:53 < zoq> are more than happy to merge them in if they are well tested and satisfy the design and style guidelines.

16:55 < gsoc_en> sorry, got dced

16:56 < zoq> gsoc_en: No problem: http://www.mlpack.org/irc/

16:57 < gsoc_en> oh just real your replies! Thank you very much

16:57 < gsoc_en> I will check for any updates on issues on Github

17:00 < zoq> gsoc_en: You are welcome, let us know if you have any questions.

17:05 < gsoc_en> sure

17:22 < rcurtin> gsoc_en: lots of people come into #mlpack and ask for advice, so if you peruse the logs, you might find some other answers that could apply to your situation

17:24 < gsoc_en> oh nice, i will go through this month's logs

17:24 < gsoc_en> ty :)