thetrainfold

6 ms·

1.
by thetrainfold 7y ago
Question about the algorithm: Is the algorithm run from scratch each time a seam is removed? I.e. energy function computed again on the resized image, all seams recomputed, then only the lowest energy seam is removed.. and repeat. Or are al
2.
by thetrainfold 7y ago
Could it help to force long names, preventing simple, 'elegant' names?
3.
by thetrainfold 7y ago
Just imagine the work that haired people go through.. (sorry)
4.
by thetrainfold 7y ago
I was referring to this specific case. In this housing example, extra infrastructure is being built for the purpose of segregating people. In your examples the segregation emerges less deliberately. My previous implied question is still una
5.
by thetrainfold 7y ago
(I work in marketing at scale) Thank you. (I don't really)
6.
by thetrainfold 7y ago
Remind them by segregating them from wealthier people?
7.
by thetrainfold 7y ago
Side note, but sharing salaries with colleagues is actually a good idea, due to the unfairness that can arise from salaries being kept secret. Example article: https://www.nytimes.com/2018/08/31/smarter-living
8.
by thetrainfold 7y ago
"he noted that some combination locks allow for wiggle-room and if this one had a three-digit leeway, Mr Rosenthal put the chances at 1 in 8,000, "which is still a small chance"." If this is the case, and there have been
9.
by thetrainfold 7y ago
It would be unusual not to check the performance of the model at predicting the target variable, which would validate whether or not the derived feature is useful.