16th
A graph that is so bad it should make you cry. Thanks to the US government. http://www.netl.doe.gov/coal/refshelf/ncp.pdf . Useless 3D. Awkward scale reading. Shithouse data-to-ink ratio. Absolute failure at illuminating what the actual problem is (read the blue text under the x-axis to read what they wanted the graph to show).
scikits.learn.mixture.GMM needs the training values to NOT be Int64 values. Otherwise you get ”invalid value encountered in log”
From The Economist
“This is ironic, because black men are statistically very open to marrying outside their race—more than one in five does. But fewer than one in ten black women intermarries.”
”More than one in five does” or “More than one in five do” ?
Add the following as a custom rule to adblock:
plusone.google.com/u/0/_/+1/fastbutton
Back from a trip to Tokyo. Lusted after all the tokyobikes we saw.
Found a great place to rent one (at bikecity-tripper and cycled the hell out of Tokyo.