This lesson covers introductions and definitions for machine learning (ML), supervised vs. unsupervised learning, and the training, testing, and evaluation phases of ML algorithms.

This lesson covers an example machine learning (ML) algorithm: decision trees. Decision trees help computers make choices by asking a series of yes-or-no questions, much like a flowchart. We learn how these trees can be used to classify data and make predictions.