stochastician

10 ms·

91.
Protecting the Free Speech of censors, or "The system works" (popehat.com)
3 points by stochastician 13y ago|0 comments
92.
by stochastician 13y ago
They don't really need a lot of domain knowledge, although having some technical background would be nice. Thanks for the pointer, I'll check them out!
93.
Ask HN: Outsourced personal project manager
4 points by stochastician 13y ago|2 comments
94.
by stochastician 13y ago
In reading The Idea Factory[1] it became incredibly clear that Bell Labs only released and licensed a great deal of this technology as the results of various antitrust settlements that plagued the company throughout its entire existence. Al
95.
by stochastician 13y ago
Eric Jonas here, former CEO of Prior Knowledge, cofounder of Navia, etc. etc. [and obviously not speaking for my employer] Tristan is right, our tech was based on CrossCat, a model originally developed in Josh Tenenbaum's lab at MIT. W
96.
MIT Professor talks about his battles with depression(tech.mit.edu)
6 points by stochastician 14y ago|1 comments
97.
by stochastician 14y ago
One of the things I've found is that, to really consider myself a "master" of a particular field, I have to know where the research frontier is. "What are the current unanswered problems? How do you extend method X to cover case Y?"
98.
by stochastician 14y ago
One of the awesome satellites was BRITE, made by the UTIAS group http://universe.utoronto.ca/BRITE at the University of Toronto!
99.
by stochastician 14y ago
It's not clear that the people with the best priors lost -- the people with a great deal of prior information (the specialists) are also often still using SAS/etc. and linear regression / classical neural nets / etc. Many of the people doin
100.
by stochastician 14y ago
Prior Knowledge (SF) [H1-B, interns ok] Full Time, Distributed Systems Developers and Machine Learning Experts -- and anyone with a passion for posteriors. P(K) is a small team in downtown San Francisco pushing the frontiers of probabilisti
101.
by stochastician 14y ago
John Hunter was, like me, a neuroscientist on paper. There were times when he helped me figure out how to best plot spike rasters (neural data) in matplotlib. I remember him leaving academia for industry (quant finance at the time), and dis
102.
R2Drink2 - A robotic bartender, open source(facebook.com)
1 points by stochastician 14y ago|0 comments
103.
by stochastician 14y ago
Prior Knowledge (SF), Full Time, Intern P(K) is a small team in downtown San Francisco pushing the frontiers of probabilistic machine learning to the masses. Our first product is Veritable, a predictive database. We like to think of it as a
104.
by stochastician 14y ago
Prior Knowledge is hiring in downtown San Francisco! We're a small team in downtown San Francisco pushing the frontiers of probabilistic machine learning to the masses. Our first product is Veritable, a predictive database. We like to think
105.
by stochastician 15y ago
This is similar to work myself and Vikash Mansinghka were doing in 2008 -- http://dspace.mit.edu/bitstream/handle/1721.1/43712/MIT-CSAI... . It's actually the basis of my PhD thesis, "Stochastic Architectures for Probabilistic Computatio
106.
Successful techniques for dealing with lawyer bills?
1 points by stochastician 15y ago|2 comments
107.
by stochastician 15y ago
I didn't mean "right" as in "this person is more correct than others", I meant "compatible".
108.
by stochastician 15y ago
I'm sorry, I have been single throughout the majority of my time in a startup, including part of the time being CEO. So I feel like I'm speaking with some authority. Dating forces you to go out and meet people of the sort that you won't mee
109.
by stochastician 16y ago
Can you give your favorite example where ML methods lack a (useful) corresponding Bayesian substitute/replacement?
110.
by stochastician 16y ago
I'd like a full dump of all okcupid data, including how people rate me, when they rate me, their ratings, etc. I'd like to know how long they stay on my profile, how often they click to my profile, and what they're searching for. I mean, re
111.
by stochastician 17y ago
There's a lot of new interest in probabilistic programming languages, which is what Noah et. al. have developed. See http://probabilistic-programming.org/wiki/NIPS*2008_Workshop for a workshop from about a year ago that explored the spac
112.
by stochastician 17y ago
The idea here is using "Stochastic Functional Programming" (see some of the work by Goodman, Mansinghka, Roy, and others at http://web.mit.edu/vkm/www/ ). Basically, you write down your AI problem in a "forward" direction, suggesting how