The Hype Cycle for Emerging Technologies provides insights gained from evaluating more than 2,000 technologies. The eight added in 2017 include 5G, Artificial General Intelligence, Deep Learning, Deep Reinforcement Learning, Digital Twin, Edge Computing, Serverless PaaS and Cognitive Computing.
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Before we get into the fun part of working with data, let’s break down how data science involves more than just statistics, why it’s becoming more important, and the data science process. Data Science vs. Statistics In short, data science is extracting knowledge from data. But how is that different between statistics? Data science encompasses…
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Big Data, as we all know, can now seen to be streaming into businesses as well as all over the Internet from various data sources may it be sensors, social media data, reviews, customer data, or even more. Many big recognized companies like Google, IBM, Microsoft and Amazon have a hand in helping businesses process big data by building Machine Learning APIs so that they can in return make the best optimum use of the machine learning technology.
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