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.
With software development being redefined to work in a data science and machine learning context, this timeless question is gaining new relevance and R and python are being the most used programming language for machine learning and data science.
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In Gartner's magic Quadrant, SAS named as a leader for Multi-channel marketing hubs. it helps organisations to track, manage and analyze their customer.
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India is considering the military usage of Artificial Intelligence (AI) for national security and military strategic purposes and the government is studying a report recommending the dual use of technology in aviation, naval, land systems, cyber, nuclear and biological warfare.
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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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According to Forrester report, Hadoop usage is increasing 32.9% per year. Hadoop is dominating the Big Data space and trends seems to continue. Get hands on training on Hadoop. Contact us@ 080 48147185 / 40952721