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lliiffee
searching PlanetScale…
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17 ms
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121.
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by
lliiffee
16y ago
I thought that Steve's previous analysis that having crazily long posts was part of why they had such a impact was spot on. I'm surprised and disapointed that he's considering consciously making posts shorter and more frequent.
122.
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lliiffee
16y ago
Nothing in Rochester.
123.
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by
lliiffee
16y ago
Please clarify: Why are random pivots not practical? And why do you say there are no truly random quicksorts? Because pseudorandom numbers aren't really random, or for some other reason?
124.
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by
lliiffee
16y ago
Your second point may be valid, though not literally. I've implemented quicksort, and I used (pseudo) random pivots, damnit! :) The article you point to doesn't seem to address the complexity of quicksort with random pivots. However, that
125.
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by
lliiffee
16y ago
Note that properly implemented quicksort has expected O(n log n) time independent of the data (dependent only on the random choices of pivots), whereas interpolation sort's performance is data dependent. That's a pretty important distincti
126.
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lliiffee
16y ago
I assume three are for position, and three are for angle.
127.
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lliiffee
16y ago
Megan McArdle, the author of this article, has a very active and interesting blog on economic issues: http://www.theatlantic.com/megan-mcardle Its usually the first thing I go for when I check my RSS feed.
128.
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by
lliiffee
16y ago
Since you seem to know this stuff, I hope you doing mind if I ask you a marginally related question... It seems like deep learning is based on greedily building representations in an unsupervised setting. (Not sure if this is a defining c
129.
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by
lliiffee
16y ago
Try section 7 of these notes: http://see.stanford.edu/materials/aimlcs229/cs229-notes3.pdf
130.
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by
lliiffee
16y ago
Basically, the idea of feature spaces is to blow up the data into high dimensions. So, we use x' = f(x) as our data, instead of x. It turns out that in lots of machine learning algorithms (notably SVMs), you end up only needing inner pro
131.
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by
lliiffee
16y ago
Technically what is visualized here isn't "the kernel trick". This is the general idea of how nonlinearly projecting some points into a higher-dimensional feature space makes linear classifiers more powerful. You can do this with out SVMs
132.
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by
lliiffee
17y ago
For total exports and imports to a country, it makes no difference. For country/country pairs, it changes things. For example, a big chunk of the US trade deficit with China should be reassigned to Japan.
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lliiffee
17y ago
Another anecdote for these. I started running regularly a year or so ago. I'm no natural athlete, and even with relatively short runs of just a few miles, I would struggle with knee pain. (I'm quite tall.) After reading some of these arti
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by
lliiffee
17y ago
It isn't fun to have a do-nothing job, especially for the type of person who would consider doing a Ph.D. in a biotech field. However much that helps.
135.
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by
lliiffee
17y ago
The concern is in setting a precedent that anyone can have a wide hearing of their ideas by killing people, which creates copycats in the future. (We have seen this happen with, e.g., school shootings.)
136.
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lliiffee
17y ago
I urge everyone not to read this. We should not reward murderers (or attempted murderers) with out attention.
137.
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by
lliiffee
17y ago
In fairness, shakeshack has a wonderfully simple version that loads for me with noscript on.
138.
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by
lliiffee
17y ago
I wonder how much these problems are problems of information. The reason printers are crap is that most people buy them based on 1) price, and 2) listed features. As a result, manufacturers optimize for these. If people understood that m
139.
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by
lliiffee
17y ago
True. However, the fastest way to learn almost anything is to go hang out with experts. Graduate school, at its best, is a formalization of this. (Of course, you still have to go to the library!)
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by
lliiffee
17y ago
I'm not sure what the broken window fallacy has to do with anything. As for technology, see the comments in the article by economists about the difference between lowering prices based on improved productivity (good) and just lower demand (
141.
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by
lliiffee
17y ago
> Now, what real-life example demands systems of equations? Finding the cheapest phone card to use is a good example.
142.
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by
lliiffee
17y ago
I really don't know, but I would guess Google's search engine is almost all C/C++. When you are operating at that scale, it makes sense to invest huge programmer time for very small speed increases. As to "normal" people, I do a lot of num
143.
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by
lliiffee
17y ago
4x is low: http://shootout.alioth.debian.org/u32q/benchmark.php?test=al... Roughly speaking, anything time-critical needs to be done in c.
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lliiffee
17y ago
I agree. I think that the main impact of no-camera-on-iPad might be that fewer people use it as their only computer. (This might be by design.)
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lliiffee
17y ago
In my experience, people want videochat to look at their grandchildren.
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lliiffee
17y ago
Fast page refresh makes it potentially very attractive for things like textbooks where you need to skim around. For linear novel reading, I'd think a Kindle is much better.
147.
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by
lliiffee
17y ago
See that, potential thief? If you steal a phone, there is a 95% probability that you keep it, sure, but a 5% probability that you stole it from a motivated technically competent person who will track you down and ... make you give it back
148.
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by
lliiffee
17y ago
I'm not quite sure what it means to say the U.S. has "permitted police to monitor communications without permission". Was it permitted or not?
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by
lliiffee
17y ago
You can solve amazingly large problems with a sparse matrix with out understanding what you are doing, as long as you use direct (factorization) methods. If you type A\b with some gigantic sparse A, matlab will apply reordering heuristics
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Was the QWERTY keyboard purposely designed to slow typists?
(straightdope.com)
2 points
by
lliiffee
17y ago
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