How to Keep Machine Learning From Becoming a Big Data Bottleneck

Jack Vaughn of SearchDataManagement recently wrote, “The recent rush of machine learning technology and products is formidable, but machine learning techniques are far from new. What's new is the number of parallelized data processing platforms becoming available for machine learning applications of big data. At the recent Strata + Hadoop World conference in San Jose, Calif., data specialists said the complexity of predictive machine learning algorithms and models, as well as the sheer numbers of such models, can limit use of machine learning in large corporations.

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