Introducing the MapR Data Science Refinery

Data Science is a hot topic in boardrooms right now. Everybody wants to adopt AI/ML, hire the best and brightest data scientists, and enable them to experiment and build intelligent applications. New libraries have made it possible to analyze new types of data and even gain new insights from historical data. Massive amounts of data being generated from the boom in IoT computing mean there’s even more demand for ML aggregation at the edge. Everybody wants in.
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