Examples of using Large data in English and their translations into Hebrew
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due to the large data set that has been available for training.
is usually more efficient, especially when working with large data sets.
BigQuery is a Google developer tool for fast queries of large data sets.
partly because the U-curve is a statistical regularity that emerges from large data sets, and psychologists prefer to study actual people,
When you require rapid, high-volume translation in order to comb through large data sets or communicate with multilingual populations in real-time, machine translation may be the answer.
Students will be taught cutting edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work.-.
Students will be taught cutting-edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work.
It is essentially optimizing the memory architecture so that large data sets and time-critical data can be more efficiently handled,
titles and ended up more as large data dumps delivering poor data quality,
You work with extremely large data sets, like enterprise-scale Excel workbooks with complex calculations, many pivot tables, connections to external databases,
This large data set was searched for signatures of short pulses from the source over a broad range of frequencies,
such as large data or electrical networks,
constantly running a query to retrieve the data can take time- especially if you run a complex query against a large data store.
unless we press F9, which is a good idea because a large data table will slow down your work if it recalculates every time you type something into your worksheet.
Therefore, if your scenarios include large files and/or working with large data sets and your computer is running 64-bit version of Windows,
With Power Pivot you can work with large data sets, build extensive relationships, and create complex(or simple)
You work with extremely large data sets, like enterprise-scale Excel workbooks with complex calculations, many pivot tables,
as 32-bit Office does(2 gigabyte(GB) limit), it may work better with large data sets.
a framework that allows for the distributed processing of large data sets across clusters of computers.
where he worked on 3D voxel data management for very large data sets for volume rendering,