< oldbeardo>
naywhayare: hey, it's been a while since I last contributed, was busy with some stuff
< naywhayare>
oldbeardo: I know how that goes :(
< oldbeardo>
anyway, I was looking at ticket #345, is there something in particular you are waiting for?
< naywhayare>
I have some contributions I still have to work into trunk but I haven't had time because I'm trying to prepare papers for NIPS...
< oldbeardo>
yeah, even I was busy with a project report
< oldbeardo>
I think you missed my question above
< naywhayare>
no, I saw it... I was looking into it
< naywhayare>
I think I was waiting for you to point out I had forgotten so that I could resolve it :)
< oldbeardo>
heh, okay :)
< oldbeardo>
also, I needed some help apart from the library development
< naywhayare>
ok, go ahead
< oldbeardo>
I'm really interested in getting a taste of ML research, but unfortunately no professor in my college is working in the field
< oldbeardo>
also, I will be graduating soon, so doesn't make a difference
< oldbeardo>
is there some way I can do it on my own? or are there labs who look for remote research assistance?
< naywhayare>
it's difficult to get into a research group without being physically there, and being an independent researcher is really difficult (which I know because I sort of am one after my advsiro left)
< naywhayare>
*advisor
< naywhayare>
your best bet would be to try and get to a university that has a machine learning group for graduate work (if you are interested in graduate work), or find an internship/job with a company that does machine learning
< naywhayare>
at least, that's what I think. my view of how to do machine learning research is admittedly limited since I only have my own experience and some stories from others I know :)
< naywhayare>
in the mean time, bringing yourself up to speed on the state of the art is a long process, but doesn't necessarily require a group
< oldbeardo>
yeah, that's what I thought too
< naywhayare>
you can read NIPS proceedings or ICML proceedings or AISTATS proceedings and get an idea of what is going on
< naywhayare>
for me, it took about two or three years of reading papers and playing around with code to become knowledgeable about my own subfield (dual-tree algorithms and computational geometry),
< naywhayare>
and even still I have many important papers that I need to read
< oldbeardo>
okay, I get that reading papers will leave me more informed
< oldbeardo>
but how do I translate that into something that I can put on my grad school application
< naywhayare>
sorry, I'm having trouble staying connected to the local wireless network
< naywhayare>
reading papers doesn't give you anything to put on a grad school application, you are right
< naywhayare>
however, you can say that you contribute to open-source machine learning libraries :)
< oldbeardo>
heh, that is surely one thing that is going onmy application :)
< naywhayare>
other than that I'm not sure what else you could add. if you do have a research idea that seems to have promising results, you could submit it to a conference or workshop
< oldbeardo>
yup, thanks for the discussion
< oldbeardo>
I need to go now, I will start work from tomorrow
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