IT leaders share how they are using artificial intelligence and machine learning to generate business insights and new services — and offer key advice to those looking to leverage AI and ML as part of their IT strategy.
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By Matthew Mayo, KDnuggets. Nothing takes the place of meaningful and substantive study, but these cheat sheets (that’s really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas.
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Meet the team of Googlers who are hoping that machine learning can help ferret out bugs and vulnerabilities in the Android operating system.
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Non-adherence of medication is one of the most important problems when treating patients with chronic conditions.
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By Gregory Piatetsky, KDnuggets. Big Data surged in popularity both as a field and as a popular buzzword around 2011. However, lately is has been losing its luster and Gartner in 2015 removed Big Data from its Hype Curve, replacing it with Machine Learning.
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BENGALURU, September 6, 2017 /PR Newswire India/ — IBM Recognizes Aegis School of Data Science for Building Skills in Analytics & Data Science.
Aegis was recognized for ‘Building Capabilities in the areas of Analytics & Data Science for the students and working professionals using IBM Software’ by Yeo Hwee Lee, Director, Software Services, Software Group Asia Pacific and Paramantapa Dasgupta, Career Education for IBM India & South Asia.
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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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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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