How to Predict Outcomes Using Random Forests and Spark

Random forests are an ensemble, or model of models, machine learning approach. The algorithm builds multiple decision trees, based on different subsets of the features in the data. Outcomes are then predicted by running observations through all the trees and averaging the individual predictions. Think wisdom of crowds. Spark’s machine learning library, MLlib, has support […]
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How to Build a Predictive Model using R

As the availability of high quality data continues to grow, the most successful organizations will be those that can draw value from it. This requires powerful analysis tools that can transform data into useful results. One such tool is R—a popular open-source language and environment for statistical analysis. In a recent survey, data scientists identified […]
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