Sentence examples for data premises from inspiring English sources

Exact(1)

Human cognition and behavior heavily relies on the notion that evidence (data, premises) can affect the credibility of hypotheses (theories, conclusions).

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By analyzing the photos of prices and the placement of everyday items like piles of tomatoes and bottles of shampoo and matching that to other data, Premise is building a real-time inflation index to sell to companies and Wall Street traders, who are hungry for insightful data.

Hence, the hybrid method employs backpropagation for input data (premise parameters) and least squares for output MFs (consequent parameters).

For some that has meant taking data off premises into storage that you access over the Internet.

"So the argument for the occurrence of sense-impressions to be the data or premises for the inferential thinking embodied is doubly broken-backed" (1956, 345).

The expectation a/b, or probability, of a proposition P is always relative to some set of empirical data or premises D. The expectation corresponds to an a priori valid estimate of the frequency of some property mentioned in P in some reference class mentioned in P, which estimate is derived from data or premises D, given the a priori valid principles of inductive or probabilistic inference.

Jassy also noted that if a company ever wanted to move that data off premises, it's not only hard but that data will likely be far away from your analytics and machine learning services.

This translated as examining data on premises other than solely earnings.

Given the abundance of mathematical modeling tools that were once used for modeling man-made electrical systems, and databases filled with high-throughput biological "omics" data, the premises for a systems theoretical approach are thereby available.

Figure 2 Code-only vs. Cross-Tier Partitioning: (a) code-only, showing how code is pulled to the premise (gray nodes) when we bind database tables to the premise (black nodes) (b) cross-tier, with data on premise (black nodes), data in the cloud (square nodes), functions on premise (gray nodes), and functions in the cloud (white nodes).

In the figure, we see three categories of components: (i) data on premise shown as black nodes, (ii) functions on premise as gray nodes, and (iii) functions in the cloud as white nodes.

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