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R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. R is named partly after the first names of the first two R authors and partly as a play on the name of S. The project was conceived in 1992, with an initial version released in 1995.
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SAS uses AI for its Analytics platform. It helps users to better understand and adjust their model. It helps organisations to ensure fairness and transparency for deploying AI solutions.
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Hadoop is extensively used in big data analytics, including scientific analytics, business and sales development, and enormous volumes of data processing. The Hadoop and Big Data Analytics Market are expected to reach USD +40 billion by the end of 2022 with +43 % CAGR during the forecast period 2018-2022.
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The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, itβs driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.