Name: Tree-Based Methods - Gradient boosting machines
Uploaded: 2020-11-10T00:00:00Z
Description: In this chapter we will look at modeling algorithms that do not assume linearity or additivity, and that can learn limited types of interactions among input variables. These algorithms are *tree-based* methods that work by combining ensembles of *decision trees* that are learned from the training data.