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The challenge is to find a way to break up a problem into chunks that can be processed independently and combined later on.
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Using Poyner's (1986) method of crime analysis which serves to break up a larger problem into its constituent parts, the focus group protocol explored the following 5 "W" and one "H" questions: what, where, when, who, why and how.
What MapReduce and Hadoop do is break up a computation problem into mangeable chunks and distribute them to different processors that is the "map" part, it is mapping the data.
It can be embarrassing to think that you've worked it out, only to break up a week later because of old problems.
Know how to break up a fight.
A staged approach facilitates breaking up a difficult problem into manageable parts.
What IBM is promising is the most efficient distributed deep learning library for breaking up a giant deep learning problem into hundreds of smaller deep learning problems.
Using sophisticated statistical techniques, the Folding@home team broke up a very simple folding problem into thousands of pieces that could be farmed out over the Internet for analysis.
There are forms of direct opposition that are effective against very prejudiced persons, but it can also be effective to break up the problem by developing a varied set of responses.
Or they say they don't care, but after we break up they say they had a real problem with it.
The first step towards a distributed implementation is to break up this problem into manageable subproblems and solve these subproblems by iterative algorithms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com