Examples of using Large data sets in English and their translations into Italian
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Colloquial
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Medicine
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Ecclesiastic
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Computer
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Official/political
consistency and quality of large data sets.
perform sophisticated analysis on large data sets with.
useful patterns and trends in large data sets.
The second generation of HP Z Turbo Drive offers a ultra rapid response of entry/exit to process large data sets.
useful patterns and trends in large data sets.
transforming complex and large data sets.
CHESS will allow Clementine to be applied to very large data sets at great speed.
Pareto Pro handles large data sets with ease accommodating up to 8000 unique items(levels)
JMP® enables the computational chemists at AstraZeneca to manipulate and analyze large data sets to help pinpoint molecules active for a specific target.
improved performance when analyzing large data sets.
from research papers to large data sets.
Memory Limitations- be aware Excel is not always the most efficient when using large data sets, so save often
A paramount challenge in analyzing the large data sets is in the distinction of true protein interactions from the experimental noise that exists in the raw data obtained by a large-scale screening method.
The challenges are many: large data sets can be slow to deliver,
which is an open-source software framework that Apache designed specifically to query large data sets stored in a distributed fashion(meaning in your data center,
climatology that rely on the quantitative analysis of large data sets over a long period of time.
4 KB format so that both small files and large data sets can be processed in less time.
which offers the first SSD PCIe NVMe for PC/Workstation in the world capable of processing large data sets quickly ultra.
such as fast manipulation of large data sets(often millions of rows),
MVA is a powerful set of techniques for understanding the relationships between variables in large data sets, which classical statistics may not adequately identify or explain.