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Neural Designer performs descriptive, diagnostic, predictive and prescriptive data analytics. It implements deep architectures with multiple non-linear layers and contains utilities to solve function regression, pattern recognition, time series and autoencoding problems.
Prescriptive analytics is the third and final phase of business analytics, which also includes descriptive and predictive analytics. [2] [3] Referred to as the "final frontier of analytic capabilities", [4] prescriptive analytics entails the application of mathematical and computational sciences and suggests decision options for how to take advantage of the results of descriptive and ...
Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics. [3] Analytics may apply to a variety of fields such as marketing , management , finance , online systems, information security , and software services .
Predictive modeling is a statistical technique used to predict future behavior. It utilizes predictive models to analyze a relationship between a specific unit in a given sample and one or more features of the unit. The objective of these models is to assess the possibility that a unit in another sample will display the same pattern.
Predictive analysis is an advanced form of analytics that forecasts future activity, behaviour, trends and patterns from new and historical data. [57] Its accuracy is based on how much faithful data is present and the degree of inference that can be exploited from it.
Descriptive science is a category of science that involves descriptive research; that is, observing, recording, describing, and classifying phenomena.Descriptive research is sometimes contrasted with hypothesis-driven research, which is focused on testing a particular hypothesis by means of experimentation.
Descriptive analytics: gains insight from historical data with reporting, scorecards, clustering etc. Predictive analytics: employs predictive modelling using statistical and machine learning techniques; Prescriptive analytics: recommends decisions using optimization, simulation, etc.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.