davmre

28 ms·

211.
by davmre 12y ago
No one's claiming to have discovered secret sexism hidden deep in the OP's soul. Whatever the intent, the effect of these words is to assume a male audience and make women feel unwelcome. Maybe this effect seems like a secret be
212.
by davmre 12y ago
I speak with mixed-gender groups of people all the time, and don't find it particularly tortuous.
213.
by davmre 12y ago
If you're relating a personal experience, "I once met a seriously hot girl...", sure. That's not quite what the OP said, though. Again, imagine you're speaking in person with a (straight) woman. You might tell a sto
214.
by davmre 12y ago
But why address only "this part of HN"? As the OP said, the phenomenon applies to both men and women. So choosing to address only men is being gratuitously exclusive.
215.
by davmre 12y ago
For what it's worth, I'm sure you didn't mean this to be sexist, since the phenomenon does exist in both directions. But your comment nonetheless reads unpleasantly, because the question "ever met a seriously hot girl?&q
216.
by davmre 12y ago
MSR Silicon Valley is a satellite office, smaller than Redmond, Cambridge, Beijing, and probably several others. Still, it employs (employed?) some heavy hitters, including Turing Award winner Leslie Lamport. Many of these people will proba
217.
Microsoft to Close Microsoft Research Lab in Silicon Valley(zdnet.com)
133 points by davmre 12y ago|84 comments
218.
by davmre 12y ago
This is pretty much exactly what SpoonRocket does: spoonrocket.com.
219.
by davmre 12y ago
The Stanford deep learning tutorials ( http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutori... ) have pretty good notes and exercises with detailed guidance / starter code. Depending on where exactly yo
220.
by davmre 12y ago
A better analogy would be: you shared a web server with 99 other users, splitting the cost 100 ways. Then the provider installed a new, faster server (with marginally smaller uptime -- easily worked around by buying a backup battery), to wh
221.
by davmre 12y ago
Cool, I wasn't familiar with the Orphan Drug program. From the Wiki page it looks like it's focused on development of new drugs for rare diseases, for which the market is inherently small and thus impossible to do large clinical t
222.
by davmre 12y ago
You're right that the solution shouldn't be automatic US approval for any drug used in Russia. It's reasonable to have standards for drug testing and require that any drug used in the US is tested to those standards. The prob
223.
by davmre 12y ago
I'm not sure the distinction is as clear, or as relevant, as you imply. At what level are 'business transactions' defined? Is there a separate transaction with your ISP for every packet you send or receive? I would have thoug
224.
by davmre 12y ago
You can actually do this with gmail itself: johndoe+x@gmail.com is a valid alias for johndoe@gmail.com, for any value of x. So you can make up whatever set of custom addresses you want; they all go to the same account, and filtering/fo
225.
by davmre 12y ago
If you'd looked at the site, the authors actually do the exact comparison you suggest: http://research.microsoft.com/en-us/um/redmond/projects/hype... It's better than a raw timelapse, but not
226.
by davmre 12y ago
One difference between pregnancies and debugging is that the success probabilities of pregnancies are more or less independent -- couple A's failure to conceive doesn't cause us to believe that couple B will be any more or less li
227.
by davmre 12y ago
Yann LeCun (neural net pioneer and Facebook AI head) has a somewhat-skeptical post about this chip: https://www.facebook.com/yann.lecun/posts/10152184295832143 . His essential points: 1. Building special-purpose ha
228.
by davmre 12y ago
The point of Bayesian optimization is that, once you've evaluated your first parameter setting (or round of settings, if you're running in parallel), you no longer have a uniform prior; you have a posterior: that evaluation gave y
229.
Large Round of Layoffs Expected at Microsoft(bits.blogs.nytimes.com)
304 points by davmre 12y ago|245 comments
230.
by davmre 12y ago
People consume fewer books than songs, though. I might listen to hundreds of songs in a month, but only read two or three books, so that $10/month fee is being split between very few authors. Say this means that an author gets $2/
231.
by davmre 12y ago
Not as far as I know. The closest I can think of is Josh Tenenbaum and Noah Goodman's online book "Probabilistic Models of Cognition", https://probmods.org , which has lots of examples of simple models, written in
232.
by davmre 12y ago
Experimenting with more models increases the likelihood you'll find a good model. A good model is, by definition, a more accurate representation of your domain than a bad model. It will also tend to generate more accurate predictions,
233.
by davmre 12y ago
IBAL is quite old; you're probably better off learning something that's still being actively maintained. The natural choice would be Avi Pfeffer's new language, Figaro ( https://www.cra.com/commercial-solutions
234.
by davmre 12y ago
There are domains, like particle physics, where models are quite strongly constrained by data. And then there are domains, like climate science, economics, political forecasting, genetics, sociology, etc., where the underlying phenomena are
235.
by davmre 12y ago
One issue with this: calling the likelihood P(e|h) 'objective' ignores the fact that the choice of model is usually quite subjective, and often affects the posterior to a much larger extent than the choice of prior, especially if
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Transcendence: An AI Researcher Enjoys Watching His Own Execution(huffingtonpost.com)
1 points by davmre 12y ago|0 comments
237.
by davmre 13y ago
Shouldn't it be exactly the opposite? Mobile is hugely bandwidth-limited, but you can get a 128GB SD card for ~$75 these days. The real reason for streaming is that most people don't know in advance what they want to watch, and wi
238.
by davmre 13y ago
There are only probably a million or so frequently-appearing terms in English-language email messages (including the most common proper nouns, though of course not all of the long tail). Computing a million hashes with a custom salt is stil
239.
by davmre 13y ago
The article explained how the long-term relationship with an older violin, which is more 'broken in' but temperamental day-to-day, might be different than with a modern violin, which is more 'dependable' day-to-day but c
240.
A Few Thoughts on Brendan Eich(talkingpointsmemo.com)
6 points by davmre 13y ago|2 comments

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