Previous Tutorial

Erin LeDell – Tutorial Description The goal of this tutorial is to provide participants with a deep understanding of four widely used algorithms in machine learning: Generalized Linear Model (GLM), Gradient Boosting Machine (GBM), Random Forest and Deep Neural Nets. This includes a deep dive into the algorithms in the abstract sense, and a review of the implementations of these algorithms available within the R ecosystem. Due to their popularity, each of these algorithms have several implementations available in R. Each package author takes a unique approach to implementing the algorithm, and each package provides an overlapping, but not identical, set of model parameters available to the user. The tutorial will provide an in-depth analysis of how each of these algorithms were implemented in a handful of R packagesā€¦

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