tristanz

15 ms·

151.
by tristanz 13y ago
One thing that's not entirely clear from the article is that probabilistic programming is Bayesian modeling and inference. Probabilistic programming isn't a new machine learning technique it's a more flexible way to do Bayesian statistic
152.
by tristanz 13y ago
While the line isn't sharp, I would distinguish somewhat between older BUGS like languages, where the underlying analogy is typically a directed graph, and more recent probabilistic programming languages like Church, where the underlying an
153.
by tristanz 14y ago
http://www.reinhartandrogoff.com/data/browse-by-topic/
154.
by tristanz 14y ago
The notational part of this debate is definitely not agreed upon. Andrew Gelman and Christian Robert both argue for p(data|H_0) in comments on those blog posts.
155.
by tristanz 14y ago
This is exciting for Hinton I'm sure, but also somewhat worrying for broader community. Hinton has always been very open with his research: http://www.nytimes.com/2012/11/24/science/scientists-see-adv... One of the most striking aspects o
156.
by tristanz 14y ago
It's rather pedantic in this context, but "probability 0" and "impossible" actually aren't the same thing: http://nolaymanleftbehind.wordpress.com/2011/07/13/the-diffe...
157.
by tristanz 14y ago
On the denormalization front, is it possible to do transactions without locking / syncing the entire tree. I'm thinking friendship modeling like: user1.friends = ['user2'] user2.friends = ['user1']
158.
by tristanz 14y ago
In the top example blurCallback references the current $scope object, which is a powerful feature of AngularJS that helps keep things modular. In the second you are referencing a global blurCallback function, which is definitely a bad idea.
159.
by tristanz 14y ago
Google described their process here: http://static.googleusercontent.com/external_content/untrust...