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What is Machine Learning (ML)?

Machine Learning is a branch of artificial intelligence that enables computers to learn patterns and make decisions from data without being explicitly programmed with rules. Instead of following step-by-step instructions, ML algorithms analyze examples to identify patterns and improve their performance over time through experience. Common applications include email spam filters, recommendation systems, image recognition, voice assistants, and fraud detection.

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Machine Learning mentioned at Stanford HAI

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Deep Learning | Artificial Intelligence (AI) | Supervised Learning

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The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.

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A New Direction for Machine Learning in Criminal Law

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This brief proposes a machine learning approach to studying decision-making in the criminal legal system as a way to identify and reduce systemic inequalities.

Law Enforcement and Justice
Machine Learning
policy brief
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media mention

Stanford professors develop and use an AI teaching tool that can provide feedback on students’ homework assignments in university-level coding courses; a previously laborious and time-consuming task.

First-of-its-kind Stanford Machine Learning Tool Streamlines Student Feedback Process for Computer Science Professors

Isabel Swafford
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Stanford professors develop and use an AI teaching tool that can provide feedback on students’ homework assignments in university-level coding courses; a previously laborious and time-consuming task.

media mention
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media mention

HAI Co-Director Fei-Fei Li is recognized for her commitment to ethical AI and interdisciplinary research, continuing to shape the future of AI development and application.

Beyond Algorithms: The Human Faces Driving Machine Learning Forward

Tech Times
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Ethics, Equity, Inclusion
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media mention
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