Sentence examples for analytics emphasize from inspiring English sources

Exact(3)

Should analytics emphasize prescriptive, directive, and comprehensive compliance?

Analytics emphasize the viewpoint of linear algebra and the analogy with finite matrix problems.

Traditional statistical analytics mainly have mathematical foundations (Cobb 2015); while DS analytics emphasize the computational aspects of pragmatically carrying out data analysis, including acquisition, management, and analysis of a wide variety of data (Hardin et al. 2015).

Similar(57)

This view on analytics emphasizes the functional aspects of analytics, as a set of processes and procedures to accomplish certain outcomes.

Future work on big clinical data analytics should emphasize modelling of whole interacting processes in a clinical setting (e.g. clinical test utilization pattern, test procedures, specimen collection/handling, etc).

Alternative analytic currents emphasize contrasting roles of instrumentation.

Promoted as 'a business intelligence shared service for UK education' and a 'live data processing environment,' Analytics Lab emphasizes 'cutting edge data manipulation and analysis' and enables teams 'to acquire, combine and visualise national data sets helping the higher education (HE) sector exploit the benefits of business intelligence' (https://www.business-intelligence.ac.uk/).ac.uk/

Graduates do many things in their careers, and they all take with them the analytic skills emphasized during their years at the Law School.

The old distinction between visual and analytic mathematicians emphasized by Poincaré (see Poincaré 1905) is still part of the picture although there are a great variety of models and classifications.

Analytic philosophers emphasized the empirical and scientific status of historical knowledge, and attempted to understand this claim along the lines of the scientific standing of the natural sciences (Nagel 1961).

In overthrowing decades of conventional thinking, sports analytics tend to emphasize the efficiency of athletes and teams, so percentage-based stats are most important.

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