After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Unlike other decision models, it is based on a tree-like structure. The decision tree is exactly what it sounds like: it is a Machine Learning model that makes predictions without going through every ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...

Decision trees, Lynch explained, are machine learning algorithms that create chains of binary decisions to help distinguish groups from one another. We hoped they could help us find places that ...