brendano

10 ms·

1.
by brendano 11y ago
I find it frustrating why statisticians can't just give us something we could indeed use with confidence that it actually tells us what we think it tells us... This is on a slightly different statistical methodology issue, but quotin
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by brendano 11y ago
It would be helpful if you named the other ones -- always useful to hear examples of what works and doesn't.
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Tupleware: framework for distributed machine learning and data analysis(tupleware.cs.brown.edu)
2 points by brendano 11y ago|0 comments
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Petuum, a distributed machine learning framework(petuum.github.io)
48 points by brendano 11y ago|6 comments
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Petuum, a distributed machine learning framework(petuum.github.io)
2 points by brendano 11y ago|0 comments
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by brendano 11y ago
"Terrible" is a little harsh. I found the benchmark to be interesting because it's similar to many NLP-style analysis tasks I have myself. Of course reproducible ones would be great too.
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by brendano 11y ago
If you bet on the right platform, code can live for a while. For example: this classic paper on compression http://web.stanford.edu/class/ee398a/handouts/papers/WittenA... was published with a C, Unix-ba
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by brendano 11y ago
It's very, very rare that PhD students pay tuition in any reasonable science or engineering program.
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by brendano 12y ago
This book is great and designed for exactly this type of audience: http://www.stat.cmu.edu/~larry/all-of-statistics/
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by brendano 12y ago
This is a hard problem -- there's a bunch of research in NLP on it, where it's sometimes called temporal tagging. HeidelTime is a system that does this; some examples on their webpage, https://code.google.com/p&#x
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by brendano 12y ago
Also see Heideltime: https://code.google.com/p/heideltime/
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by brendano 12y ago
Yeah, that's the main PTB-style tagset resource for tweets (that I know of). Our tool can also be run to produce tags in their form (we just retrained our software on their annotated data). See further down the webpage for informatio
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by brendano 12y ago
Part of it is genuine differences between online conversational language versus standard written English, like emoticons, Twitter-specific discourse markers, and hard-to-segment compounds or clitic constructions (see the Gimpel and Owoputi
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by brendano 12y ago
Also, see Cosma Shalizi's excellent review of "Red Plenty", which includes a mini-introduction on the application of linear programming to economic policymaking. http://crookedtimber.org/2012/05/30&#
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by brendano 12y ago
It would be helpful to know what KaTeX can and cannot do.
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by brendano 12y ago
What does derivative work mean? Why is a graph or data summary not a derivative work?
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by brendano 12y ago
1 - why can't I import a directory full of jars? eg --classpath ./lib/jars/* or better yet, recursively descend --classpath ./lib/jars/** I usually do this as (in zsh): -cp
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by brendano 13y ago
Here's a positive report on teaching "back to basics" first-semester programming with Java. They only teach procedural concepts and no OO at all. The point is, while Java itself is non-ideal for this and slants towards OO,
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by brendano 13y ago
plain old data
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by brendano 13y ago
You can get some of this from Google Scholar's metrics pages, which list, for each venue, the most-cited papers since 2008. These indeed seem to be different than the best-paper selections, though I haven't examined this systemat
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by brendano 13y ago
Thanks for the information. Sorry I was misinformed before...
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by brendano 13y ago
Ah, wonderful! So if I understand this correctly, this doesn't give C/Fortran access to Java-native primitive arrays; but instead, it's specific to NIO byte buffers (and then the matrix libraries have to build on top of that
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by brendano 13y ago
The programming language analysis is pretty interesting, but you have to ask, what's the point of a brand-new Java implementation? R isn't just a programming language, but it's a software framework/ecosystem. They ment
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by brendano 13y ago
It may not be necessary for all those people to give LinkedIn access to their email address books. Say you're A and you see a suggestion for B. Maybe a mutual friend C uploaded their email address book, which includes both A and B
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by brendano 13y ago
Eventually I realized that the only reason the companies pushed so hard, why they insisted so strongly on rankings and scores over information and analysis, was because it made it not their problem anymore. They didn’t have the credential
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by brendano 13y ago
Once you've reached input number 10^8 or whatever, you've got all sorts of chances to have arithmetic overflow and/or the weirdness of that many pseudo-random operations screw you. Why? Double floats don't overflow un
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by brendano 13y ago
Has Numenta done any of the empirical evaluations that are standard in the mainstream applied machine learning communities? For example, if they're doing image classification, one of the standard shared tasks from the field of vision resea
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by brendano 13y ago
It was great working with Cliff and many other folks at Powerset. I think I got cynical a little earlier than some of the other folks and left before the acquisition, so I might be less justified in my opinion, but anyway, On the below-mar
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by brendano 13y ago
<i> I get a good dozen or so downvotes from them when I post something negative about Google. Usually it happens in a short period of time, as if someone gave them marching orders</i> There are thousands of employees at Goog
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by brendano 13y ago
I thought a long time about whether to do economics or a computer science PhD, eventually deciding on CS / machine learning. The usefulness of both is very appealing, and economics is full of interesting problems, a wonderful analytic meth

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