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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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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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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A group of Space Center scientists developed a method using Machine Learning to predict plant growth. It will improve the efficiency of farming.
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According to a latest report from Zion Market Research, the global hadoop market was USD 7.69 billion in 2016 and is expected to reach approximately USD 87.14 billion by 2022. Growing at a CAGR of 50% between 2017 and 2022.
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