A subfield of AI involving algorithms that enable computer systems to iteratively learn from and then make decisions, inferences or predictions based on data. These algorithms build a model from training data to perform a specific task on new data without being explicitly programmed to do so.

Machine learning implements various algorithms that learn and improve by experience in a problem-solving process that includes data cleansing, feature selection, training, testing and validation. Companies and government agencies deploy machine learning algorithms for tasks such as fraud detection, recommender systems, customer inquiries, natural language processing, health care, or transport and logistics.