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Machine Learning in Parallel with Support Vector Machines, Generalized Linear Models, and Adaptive Boosting

9 Mar 2014GPL3
Introduction This article describes methods for machine learning using bootstrap samples and parallel processing to model very large volumes of data in short periods of time.  The R programming language includes many packages for machine learning different types of data.  Three of these packages inc
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