November 2015
Intermediate to advanced
328 pages
10h 12m
English
Content preview from Parallel Computing for Data Science
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Chapter 13
Inherently Statistical
Approaches: Subset
Methods
A recurrent theme in this book has been that it is easy to speed up embar-
rassingly parallel (EP) applications, but the rest can be quite a challenge.
Fortunately, there exist methods for converting many non-EP statistical
problems to EP ones that are equivalent or reasonable substitutes.
I call this software alchemy. Such methods will be presented in this chapter,
with the main focus being on one method in particular, Chunk Averaging
(CA). Brief overviews will also be given of two other methods.
Let’s set some notation. It will be helpful to have at hand the concept of a
“typical rectangular ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.