The telecom sector is loosing billions of money every year due to fraud detection. Machine Learning is the best weapon for telecom industry against fraud detection. Machine Learning has the capability to self- learn, the algorithm gives accurate result which helps in detecting fraud activities.
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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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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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According to NSE, the upcoming trends in technology Machine Learning(ML) would affect capital markets and create better efficiency in evolving the economy of the country.
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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.
The product manager of google said that google app engine is supporting python (3.7) programming language and they are ready to use it in the next 25 days.
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