Interview questions on machine learning are aimed at assessing a candidate’s knowledge of data-driven algorithms and predictive modeling techniques. They commonly include topics such as supervised and unsupervised learning, regression, classification, clustering, and model evaluation. These questions also test familiarity with tools, frameworks, and practical implementation of machine learning solutions. Preparing for them helps candidates showcase both theoretical understanding and hands-on experience in building intelligent systems.