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

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