Machine Learning Course - 10. Decision Trees

A full university-level machine learning course - for free. New lectures every week. Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems. This lecture covers: Decision Trees, Decision tree decision boundary, Entropy, information gain, splitting numeric features, classification and regression with decision trees. And you can view the entire course in this playlist:    • Machine Learning Course   Learn more (and find slides for this lecture) at: www.livingmachinelearning.com/course.html