This is the first episode in a new mini-series, “Return to Trees”. In this series, Shea and Anders will be covering tree-based algorithms, including single decision trees, Random Forests, and Gradient Boosting Machines. In this episode, we discuss the rationale for re-visiting these models, which were covered in older podcast episodes in the mid-2010s, as well as an overview of what’s to come in the remaining episodes of the mini-series.   

Emerging Topics Community: Return to Trees, Part 1: Overview of Tree-Based Algorithms

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