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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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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Quora is one of the top platform to ask questions and get knowledge about any subject. They are using Python Programming language for it's back end services.
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Spam may seem like an old cyber threat that appears to be outdated but it is evolving. It looks like machine learning will be used now and in the future to mitigate threats and combat spam.
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As Hadoop continued to spread through the Valley, a group of developers from Google, Yahoo, Facebook, and BerkeleyDB got together and founded the first Hadoop distributor, Cloudera, in 2008.
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