Spam may seem like an old cyber threat that appears to be outdated but it is evolving.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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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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In Gartner's magic Quadrant, SAS named as a leader for Multi-channel marketing hubs. it helps organisations to track, manage and analyze their customer.
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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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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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