I recently participated in two of the four sessions of the just-completed webinar series: “The Evolution of Regression Modeling: from Classical Linear Regression to Modern Ensembles” from Salford Systems.
The odd-numbered sessions, which I sat through, provide the conceptual background for statistical learning from a regression perspective, in which an independent or response variable is predicted from a set of dependent, predictor or feature variables. Sessions two and four present illustrations of the methods using SPM, the Salford Predictive Modeler software suite. I plan to watch those videos soon and will detail my reactions in a future blog.
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