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"alternative data from" is a grammatically correct phrase and can be used in written English
It is typically used to indicate information or data that is different or unconventional from the usual or traditional sources. Here is an example: "Market analysts are increasingly turning to alternative data from social media platforms to gain insights into consumer behavior."
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This helps deliver a "Verified/Not Verified" binary response for identity intelligence retrieved from a montage of data sources, including traditional ID data, such as government records and credit files, as well as alternative data from mobile applications, ad networks and social networks, to verify a person's identity.
The meta-regression was repeated in a series of sensitivity analyses that used alternative data from one of the three studies while keeping the information from the other two studies unchanged from the main analysis, as described in Supplemental Material, Table S2.
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Destácame (Judges Choicee): Allows people and MSMEs to prove, for free, their creditworthiness by using alternative data gathered from credit-like services such as utilities, telecoms, and suppliers.
We do this by using alternative data obtained from various sources (such as their cellular phone), to perform credit scoring.
If relevant data owners should seek to build on the frameworks of existing datasets and data models (for instance Open Street Map or Datex II) rather than building up an alternative data model from a blank sheet of paper.
A powerhouse in what's being called "alternative data," tracks everything from consumer spending online, to logistics data and internet interconnected devices.
For parameter estimates obtained through alternative data sources or from the wider literature, we sampled each parameter relatively ±50% to reflect the higher levels of uncertainty.
Without genome sequence information a powerful alternative data source comes from ESTs (Expressed Sequence Tags): currently 501,616 ESTs are available in barley http://www.ncbi.nlm.nih.gov/dbEST/dbEST_summary.html[ 5].
To make AI a strategic differentiator, organizations need to draw from alternative data sets.
Alternative data reduction approaches resulting from this capability of over-determination are shown through numerical simulations to have different performance characteristics under non-ideal experimental conditions.
The trend in inequality can also be inferred from alternative data sources.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com