Examples of using Source of data in English and their translations into Vietnamese
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to the NSA but also to make itself accessible as a source of data for the agency.”.
to not only supply information to NSA, but also to make itself accessible as a source of data for the agency.
Sources of data(Primary or Secondary).
If you want to combine the rows of two sources of data based on field values that are not equal, you use an unequal join.
NGO Ushahidi is a great example of an organization using new sources of data to get real-time insights for social good.
manage multiple sources of data.
manage multiple sources of data.
Using virtual payments also allows agents to keep all travel data in one place without having to deal with multiple bills and sources of data.
Be cautious of using a company that simply uses one or two sources of data as the backbone of their“investigation”.
Usually, the sources of data are a database, but these could also be an XML file,
By 2030, AI will access multiple sources of data to reveal patterns in disease and aid treatment and care.
Mix multiple sources of data to create smart maps as well as their beauties.
anywhere in the world, without undue reliance on state or industry sources of data.
Time Sharing- The flexibility to shift back and forth between two or more activities or sources of data(comparable to speech,
That is, researchers need to understand the characteristics of these new sources of data- both good and bad-
The researchers used two sources of data to assess changes in erectile function: participant responses to questionnaires and bio markers in blood samples.
Combining these two sources of data, they used the survey data to train a machine learning model to predict a person's wealth based on their call records.
But for many data analytics firms, secrecy surrounding methods and sources of data is a competitive advantage that they will not give up voluntarily.
But in the sphere of labor market statistics, there is a remarkable heterogeneity among countries in terms of methods and sources of data for estimating national wages.
Government agencies, such as public safety and utilities, have a particular need for Machine Learning since they have multiple sources of data that can be mined for insights.