apurva

22 ms·

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by apurva 15y ago
Thanks, took dzNzWzhaEUd4scbX
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by apurva 16y ago
One question that definitely has plagued me for a while is that of evaluation schemes of recommender systems... On multiple occasions I have designed recommender systems that give a fairly good user experience, but I just have not been able
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by apurva 16y ago
Pretty interesting stuff.. Personally I wasn't a big fan of recommenders that rely on explicit interaction with the end users simply because it may be too much work for them. Hunch, on the other hand seems to frame questions in a much more
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Reminder: Machine Learning Summer School '10 Registrations now open(mlss10.rsise.anu.edu.au)
2 points by apurva 16y ago|0 comments
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by apurva 16y ago
For what it's worth, I think it's important to start with interesting problems. My first interaction with ML was an implementation of Naive Baye's for classifying spam, borrowing much ideas from PG's A Plan for Spam from scratch (ie no libr
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by apurva 16y ago
+1 for nltk... its very very neat!
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by apurva 16y ago
Second Michael's opinion... Some really good python libraries out there besides NumPy and SciPy. Pandas comes to mind http://code.google.com/p/pandas/ Pretty good for data analysis. Besides this, I think there was a talk on Python for the
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by apurva 16y ago
well so here is what I am doing instead... I get only a notion of the likes of the user, and since "everything else" is too huge a domain to consider as dislike, I try and rank the user's like concepts and pick the lower one's as the one's
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by apurva 16y ago
but the whole idea is... every one has their own notion of likes and dislikes.... am i missing something here?
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Ask HN: Addressing cold start problems in recommender systems?
5 points by apurva 16y ago|6 comments
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by apurva 16y ago
well there are loads of lectures on videolectures.net definitely worth a view, in particular those from machine learning summer school(primarily because audio quality tends to be pretty sucky in some of the other ones)...
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by apurva 16y ago
There is something pretty similar... You might want to lookup on euler problems in python.. http://pyeuler.wikidot.com/ really cool stuff....
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by apurva 16y ago
Looks pretty interesting... however a small UI suggestion.... it seems to occupy a fair amount of the available screen space. How about something like a "bitcrumb powered searchbox" in the browser itself as opposed to a panel on the left??
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by apurva 16y ago
nice post... while I do agree with most of the content on your post...could you elaborate a little more on the approach you guys are planning to take in particular? Also, one thing that probably may work against startups is while they may b
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by apurva 17y ago
Good pointers, yes Andrew Ng seems really amazing that way, I had actually seen his videos too, forgot to post that link.. Thanks guys for these suggestions.
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by apurva 17y ago
i did try the libsvm implementation in weka.. but it wasn't available for all datasets (my guess being it works only for binary classification), ended up using the SMO algorithm which gave pretty good results too...
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SVMs : Beginner's resources
8 points by apurva 17y ago|5 comments
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by apurva 17y ago
great resource!! what is it about NZ and machine learning :) (weka comes from there, for those who are not aware) Anyway, PyML ( http://pyml.sourceforge.net/ ) and biopython ( http://biopython.org ) are two other packages I found pretty use
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by apurva 17y ago
great replies guys... some very good pointers, especially ventureloop was a great find for me. thanks for the inputs again. probably another area for others interested in the field are domains on finance (like imurray suggested). i found
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Ask HN:Places to apply for machine learning?
7 points by apurva 17y ago|8 comments
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by apurva 17y ago
The good news is you are at the right place :) You should probably pick up courses on machine learning as will I. http://www.cc.gatech.edu/classes/AY2009/cs7641_spring/ kind of tells you the topics you may want to look at. http://www.aut
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by apurva 17y ago
Any Gatech folks amongst us? Will be fun to catch up with some folks in college... Btw, did anyone manage to go to Atlanta Startup Weekend?