nickhuh

6 ms·

1.
by nickhuh 6y ago
There's a lot of interest in various ML communities on more efficient training and inference. Both vision and NLP have had a growing focus on these problems in recent years. I think you make a good observation that much of ML progress
2.
by nickhuh 6y ago
It's a good point and the study does some investigation of the question in Section 7 [1]. They find the trend seems to generalize across multiple speaker identities. Personal experiences appear more effective than facts at fostering re
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by nickhuh 6y ago
I think this example misleads one's intuition for the following reason: in the proposed scenario, you'd only see the coin come up heads 10 times in a row about 1 in 1024 times you ran the experiment. While your conclusion would li
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by nickhuh 6y ago
I don't have any experience programming without visual aids; and you've probably already thought of this aspect though I'll mention it just in-case: if I were facing a similar situation, I would look into long-term disability
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by nickhuh 8y ago
I think this article omits the most important distinction between Bayesian and Frequentist statistics: subjective vs. frequentist interpretations of probability. In my own opinion, neither is "true", they're both just differe
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by nickhuh 10y ago
Oh yeah there are a few Bayesian methods which work great, Bayes-UCB is another. Personally though I think KL-UCB or just plain old UCB would be the ones I'd choose. Like I said earlier, I think these techniques are like programming la
7.
by nickhuh 10y ago
Actually, in the frequentist paradigm you could choose to run a sequential hypothesis test which will end when you've acquired sufficient data[1]. Or, if you want to get fancy you could use a multi-armed bandit approach which is probab
8.
by nickhuh 10y ago
In that case you'd want to use "git add -p" which allows you to pick only parts of a file to stage for a commit. It can be crucial in crafting a really solid project / commit history. For even more complex cases you coul
9.
by nickhuh 10y ago
In my experience, making "gl commit" equivalent to "git commit -a" seems like a bad idea. When leading a team, especially of newer coders, one of the most effective ways I've found of keeping the git logs and the co
10.
by nickhuh 10y ago
I could be wrong, but I think the article that the Torvalds quote came from was purely satirical [1]. If you look at the tags it says it was posted under satire. Got me at first too! [1]: http://typicalprogrammer.com/linus-t
11.
by nickhuh 10y ago
If you're interested in clustering text documents, the canonical algorithm would be latent Dirichlet allocation, which is a topic modeling algorithm. You can find latent Dirichlet allocation in sklearn; however, you're more lookin
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by nickhuh 11y ago
For people interested in the use of neural nets to evaluate board position, it might be worthwhile reading up on TD-gammon which this work builds Off of
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Auto-sklearn: automatic parameter tuning(github.com)
1 points by nickhuh 11y ago|1 comments
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by nickhuh 11y ago
I think part of the problem is that our notion of productivity is tied up with producing, perhaps in some absolute and immediate sense. If we expand the idea to encouraging less work at the same level of efficiency I don't think it wou
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by nickhuh 11y ago
Because a lot of people really like it. One of the really cool things about lisp syntax is that it exposes the programs abstract syntax tree, making manipulating the program itself easier. It really appeals to a certain way of thinking abou
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by nickhuh 11y ago
It's also important to remember that an author dying does not prevent him or her from capturing the value. If the copyright survives them, they can sell the rights to someone for a higher price before they die.
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by nickhuh 11y ago
So I'm not an expert in the mathematics they're using specifically, but my high level understanding is that convolutional neural nets are able to extract features because they satisfy certain invariance properties. For example, a
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by nickhuh 11y ago
I agree, but I'd expand on that and say that BPL and Probabilistic programming in general benefits hugely from the fact that it is interpretable and thus useful in ways that deep learning is not quite as useful. On top of that, the int
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by nickhuh 11y ago
The three body problem though is famous for having no solution in terms of basic functions. I think for your planets model you must have been making different assumptions than in the article.
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by nickhuh 11y ago
Very cool application, confused about why it needs so many permissions when logging in with github though.
21.
by nickhuh 11y ago
Interesting article. It seems to me like what you really want here is to do this in a lisp/scheme. Then you can use the full power of lisp (it's the exact same syntax as the behavior tree), leverage lisp's built-in control fl
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by nickhuh 11y ago
Interesting point. Still, I think even some really coarse feedback would be helpful. For example, just a three tiered system where a 1 means you get an interview, a 2 means your startup is interesting, and a 3 meaning that it's totally
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Do people think it would be helpful if YC gave a rating to rejected startups?
3 points by nickhuh 11y ago|4 comments
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by nickhuh 11y ago
I think what Microsoft is trying to say, and what the article is doing a poor job of communicating, is that the company believes that there are some autistic people who have much to contribute to Microsoft, but they are currently disadvanta
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Solving the biggest problem in tech today: the passive user interface(nicholaslourie.com)
1 points by nickhuh 12y ago|0 comments
26.
by nickhuh 12y ago
Interesting thoughts. The basic idea, it seems, is that people help out those who they like, and people generally like good people. So, it would seem that the amount a person benefits from being a good person is directly related to how much