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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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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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.
Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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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
