The technology is witnessing extraordinary changes. Nowadays, journalists are using ML for analyzing massive sets of data and the combination of ML and journalism provides deep analysis reports.
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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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Spam may seem like an old cyber threat that appears to be outdated but it is evolving.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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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.
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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According to the latest report of Tiobe index, python beats C++ in popularity ranking. Python breaks all records and achieving into the top 3 rank into tiobe index report.
It's a loud call out for all, who wants to make a career in python profession.
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