With its increasing relevance across various sectors, the global demand for big data, analytics, and data science professionals are on a rise. Piling data along with a surge in fields such as AI, machine learning, and data science, has made analytics the most sought-after professions in India as well. There is an increase in demand for highly skilled professionals and companies are on a constant lookout for professionals who can fill the gap.
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The global hadoop market is witnessing a massive growth in past 5 years and trend continues. According to study report from hadoop, it is growing at a CAGR of 39.49% during the period 2017-2021.
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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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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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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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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.
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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