Примери за използване на Data sets на Английски и техните преводи на Български
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Computer
Example data sets.
Perceptyx maintains two unique data sets.
What data sets are most often consulted on the portal?
Creation of anonymized data sets.
Data sets with multiple variables and multiple years are supported.
Хората също превеждат
The most frequently downloaded data sets are.
For very large data sets, consider running a background refresh.
This model can store up to 40 data sets.
The low quality of some data sets limits their larger scale use.
The memory has enough space for up to 50 data sets.
Both data sets showed that, as D increased, the number of percepts decreased.
Big Data: Processing of large data sets.
Module' means one or more data sets organised in order to cover topics;
The same technical specifications for data sets.
Mapping of data sets and analysis of gaps for data exchange.
We have achieved success across all data sets, but.
Machines can process data sets and rewrite rules much faster than people.
We have added support for analyzing SAS data sets.
Our services transform data sets into strategic and competitive advantages for our customers.
(a) improve the quality and comparability of data sets;
The study of data sets too large to be analyzed and collated with conventional software is known as big data. .
Information contained in these data sets may change.
Here also additional data sets and functions can be included which can be displayed in the same as well as in different data windows.
Staff should not create unnecessary additional data sets.
R allows the user to run queries directly on the server data making new data sets directly available for reporting and detailed analysis.
Employees must not create unnecessary additional data sets.
What is the percentage of downloadable data sets on your national portal?
Providing insights andknowledge into large and complex data sets.
In these attacks, two data sets, neither of which by itself reveals sensitive information, are linked, and through this linkage, sensitive information is exposed.
Statistical analysis of anonymous data sets remains reserved.