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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Despite a continuing shortage of data science skills, teams do exist in businesses across many industries. Expectations are high and the promises of predictive analytics, prescriptive analytics and artificial intelligence (AI) has captured the imagination of many. Now that the role, the skill-sets and the responsibilities of data science are becoming better defined, how do… Read More »
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Inquisitiveness and imagination will be hard to create any other way.
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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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Banks and credit unions must integrate machine learning into their digital marketing strategies, but where and how should they get started?
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Google and Intel recently collaborated to extract the maximum performance from Intel® Xeon and Intel® Xeon Phi processors running TensorFlow*.
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IBM researchers achieved a feat that could improve how artificial intelligence systems learn through a ton of data.
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Dr. Norishige Morimoto, CTO and VP, IBM Asia Pacific addressing at Aegis School of Data Science under the Aegis’s Big Data & Data Science Leadership Series,
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Jobs requiring machine learning skills are paying an average of $114,000. Data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000. 59% of all Data Science and Analytics job demand is in Finance and Insurance, Professional Services, and IT.
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