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The bigger data problem in boxing is that the fighters simply don't fight enough.
As T-ZnO came into focus again mainly during the last 10 years, the big data problem in T-ZnO is not as severe as in ZnO; nevertheless, a complete overview is impossible.
Every day, Napolitano noted, U.S. intelligence sifts through more digital information than is contained in the Library of Congress' collection of printed texts, and must identify the significant parts of it, a process she referred to as "the big data problem" in her remarks.
We will analyze the data problem in CPT learning and propose a retrieval algorithm.
Another systematic data problem in healthcare is that we just don't value the data we do have, at both the individual and the organizational level.
Finally we consider the work of Imanuvilov, Uhlmann and Yamamoto on the partial data problem in two dimensions [87, 88].
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Discover powerful fast ways to solve the peskiest data problems in Excel.
In this paper we describe a framework and a class of algorithms for analyzing such "missing data" problems in the setting of Bayesian statistics.
"People haven't really solved all the data problems in the energy industry," says Gupta.
These professionals are now in the workforce and they are itching to look at interesting data problems in business.
Using data, problems in a whole fleet can be looked at, and the data can help guide engineering decisions and repairs.
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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