Simply Salford Blog

Random Forests: The Machine Learning Algorithm

Posted by Salford Systems on Thu, Mar 3, 2016 @ 10:56 AM

We recently came across the article, "Random Forest---the go-to machine learning algorithm" from TechWorld Australia.

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Topics: RandomForests, Random Forest, Random Forests, bootstrap sampling, classification, Regression, classification trees, machine learning, regression trees

Webinar Recap: 3 Ways to Improve Regression, Part 1

Posted by Kaitlin Onthank on Thu, Jan 21, 2016 @ 09:19 AM

Did you miss our webinar yesterday? It's never too late to register to get the recording

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Topics: RandomForests, Random Forests, stochastic gradient boosting, Nonlinear Regression, Regression

Leo Breiman's Philosophy of Data Analysis

Posted by Dan Steinberg on Thu, Jul 19, 2012 @ 04:17 AM

Leo Breiman laid out his philosophy of data analysis and method invention in his 2001 paper in Statistical Science, "Statistical Modeling: The Two Cultures" in which, to over simplify, he says: if a methodology can generate high predictive accuracy on test data sets we do not need to provide any further justification or defense or explanation. Predictive accuracy is sufficient to justify whatever we do to reach a predictive model. In particular, we do not need a theory describing the process that generates the data we are studying and we do not a need theory explaining the learning machine we are using. He certainly took the latter position regarding one his greatest achievements: Random Forests (co-developed with Adele Cutler).

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Topics: RandomForests, data analysis

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