Viewing profile — nphrk
nphrk
HN member- Joined
- Fri, Apr 01, 2011, 7:21 AM UTC
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About nphrk
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Recent public activity
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Comment #5795166
It is the distribution of the average of n binomial distributions (taking on values x±1)†, which according to the CLT converges to a Gaussian as n→∞. [†] x is where it is centered.…
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Comment #4937870
The copyright issue can be a bit tricky. Assuming that Instagram goes on and sells users' pictures - who's liable if somebody uploads a picture which he/she doesn't own, and then I…
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Comment #4877922
Great! I love the service, I miss only an app for my Android tablet. Keep up the good work.
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Comment #4862562
The article uses the magnitude of the coefficients, which is computed using both the real and the imaginary part.
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Comment #4862551
This is a nice way to see how the DFT is computed, however I find the view of the FT as a change of basis as even more important - generalizes easily to other bases and and one can…
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Comment #4861341
Could you recommend some introductory books? I've always felt bad not having clue about art.
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Comment #4707251
There's http://www.videolectures.net , but I think that they only host their own material.
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Comment #4652070
Just landed!
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Comment #4641289
Very interesting, I have only one nitpick (maybe for the paranoid only) : why not show the cumulative distribution but pick 200$ as a threshold?
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Comment #4607002
Well not quite. While SVMs gained a lot of popularity for having nice properties e.g. 1) a convex problem which means a unique solution and a lot of already existing technology can…
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Comment #4605840
Well not quite. While SVMs gained a lot of popularity for having nice properties e.g. 1) a convex problem which means a unique solution and a lot of already existing technology can…
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Comment #4596855
There's a Coursera course by Martin Odersky going on at the moment ( https://class.coursera.org/progfun-2012-001/class/index ).
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Comment #4070319
I guess you haven't seen the Old Spice commercial [ http://www.youtube.com/watch?v=owGykVbfgUE ].
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Comment #4040260
There are better approaches for tackling this problem (with 0-regret asymptotically). You can take a look at the UCB (Upper Confidence Bound) algorithm, and you can do even more if…
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Comment #4007453
Looks nice I must admit :) Are you fitting a quadratic curve? When you have multiple points what do you plan to use - a spline?
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Comment #3999977
No US universities, I guess they can easily get way better paying internships.
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Comment #3990841
Unfortunately, even if illegal, there is a way around it. So what some of the teachers where I studied did (one of the eastern European countries) was to send her/his students to v…
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Comment #3978197
Oh my, why the keyboard? Now I have one less reason to go with a Thinkpad over a MacBook :(.
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Comment #3525503
You have some complaints about the ML class?
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Comment #3488350
As I experienced it, Szeliski's book is better as a reference as it covers lots of material (just see the number of citations at the end). I don't think it's an easy read without r…
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Comment #3488344
I woundn't consider The Elements of Statistical Learning Theory a (very) basic book. It covers plenty of material in relatively good depth.
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Comment #3486367
Why did they charge the graphic designer and the developers?