Machine learning is one of the many subsets under the vast banner of AI, and its capabilities involve the automation of learning so that improvements based on experience are not dependent on explicit programming. Preparation for questions on a machine learning interview requires familiarity with foundational concepts that make the machines work; these involve learning based on data input, identification of patterns, and decision making by the machine. These include supervised learning, unsupervised learning, and reinforcement learning, as well as common algorithms and their applications.