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June 2018

Duke Machine Learning Summer School

June 25 - June 29
Duke Fuqua School of Business

Machine learning methodology is primarily concerned with designing appropriate models/algorithms for datasets and problems, plus the capacity to learn the model parameters given data (made more complex with "big data"). Machine-learning has a broad range of applications, from making improved diagnoses in health care to tailoring products and ads to individual customers. There are many applications of machine learning in health, science, business, engineering, social science, and the humanities. With increasing access to massive datasets, and to significant advances in…

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July 2018

NSF Cyber Carpentry Workshop: Data Lifecycle Training (RENCI, UNC-CH)

July 16 - July 27
RENCI (Chapel Hill)

For today‚Äôs graduate and post-doctoral students, conducting research often starts by trying to make sense of the many tools, technologies, and work environments used in data-intensive research and computing. Fortunately, there is help in navigating this new research landscape. The NSF Cyber Carpentry Workshop: Data Lifecycle Training is a two-week summer workshop aimed at helping graduate students understand the many aspects of the data-intensive computing environment. Even more important, the workshop will focus on bridging the gap between domain scientists…

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