Machine Learning

Machine Learning is the study or application of computer algorithms that improve automatically through experience. These algorithms build a model based on training data to perform a specific task, such as aiding in prediction or decision-making processes, without necessarily being explicitly programmed to do so.

Machine Learning is a subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed. It involves algorithms that build a model from sample data, known as 'training data', to make predictions or decisions.

A process where computational techniques enable a system to improve its performance through experience, typically by learning from data.

A branch of AI that employs computational techniques to enable systems to learn from data or experiences.

A subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.

Machine Learning (ML) refers to technologies that learn how to complete a particular task based on large amounts of data, a key sub-field of Artificial Intelligence.

A foundational technology for AI systems addressed by the standard, involving algorithms that allow systems to learn from data.

A subset of artificial intelligence that involves training algorithms on data to enable systems to learn patterns, make predictions, or take actions without explicit programming.