vamin

7 ms·

31.
by vamin 10y ago
Me too. I was thinking of this Nature article from 1906: http://www.nature.com/nature/journal/v75/n1938/abs/075173c0....
32.
by vamin 10y ago
"I only emailed companies on a Monday or Tuesday morning during normal working hours (I don’t think it’s fair to expect customer support at midnight)." It's not 100% clear whether the author means his local business hours or
33.
by vamin 10y ago
It kind of seems like the example in the iPython notebook is a red herring. Wouldn't using a Multivariate Gaussian algorithm perform just as well as probabilistic programming in this case?
34.
by vamin 12y ago
Writes definitely work, but concurrent writes will hose the database. SQLite relies on filesystem locking (which NFS does not handle properly) to handle write concurrency.
35.
Technical Snafu Destroys Screenplay Site, Loses Scripts Forever(linkedin.com)
1 points by vamin 12y ago|1 comments
36.
by vamin 12y ago
PyKEP ( https://esa.github.io/pykep/ ) is also quite good.
37.
by vamin 12y ago
I'm not aware of any structured databases of published research articles, but this project (a database of computed properties for materials) has generated some interesting insights into batteries and other technologies: https:/&#
38.
by vamin 12y ago
I started putting an abbreviated education section at the very bottom (instead of a full section at the top, as is common) and it significantly improved response rates. I especially recommend this strategy if your field of study isn't
39.
by vamin 12y ago
Well, for one thing, he could train a classifier that works for his particular physiology.
40.
by vamin 12y ago
I wonder what the experience will be like for left-handed people. Can the watch be rotated to have the dial on the opposite side?
41.
by vamin 12y ago
Good point. I wonder if they are smoothing the data, which would make the peaks less peaky (which brings up another question, what is the time resolution for UP's ability to measure wakefulness?).
42.
by vamin 12y ago
The graph is showing how many people are awake. The 93% number reflects the fact that some people were already awake before the quake.