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, it’s 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.
Hadoop broke a world record in April 2008 and became the fastest system to sort a one terabyte of data in just 209 seconds running on a 910-node cluster.
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A group of Space Center scientists developed a method using Machine Learning to predict plant growth. It will improve the efficiency of farming.
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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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Python is the top programming language. A python programmer can get jobs easily in a wide range of industries. Since Python is highly adaptable and can be easily integrated into a web application, python programmers are able to find more economic prospects.
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