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New to machine learning, or need a refresher? Check out the resources below.
Machine learning (ML) is the field of study of programs or systems that trains
models to make predictions from input data. ML powers some of the technologies
that have become integral to our daily lives, including maps, translation apps,
and song recommendations, to name a few.
You may hear the term "artificial intelligence," or AI, used to describe these
technologies as well. Although sometimes used interchangeably, formally, ML is
considered a subfield of AI. Artificial intelligence is a non-human program or
model that can perform sophisticated tasks, such as image generation or speech
recognition.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[[["\u003cp\u003eMachine learning (ML) focuses on training models to make predictions from data, powering technologies like maps and recommendations.\u003c/p\u003e\n"],["\u003cp\u003eArtificial intelligence (AI) encompasses a broader range of sophisticated tasks, with ML being a subfield within it.\u003c/p\u003e\n"],["\u003cp\u003eGoogle provides introductory resources for understanding ML concepts and problem-solving, along with a glossary for key terms.\u003c/p\u003e\n"]]],[],null,["# Machine Learning & Artificial Intelligence Basics\n\nNew to machine learning, or need a refresher? Check out the resources below.\n| **Estimated Read Time:** 10 minutes\n| **Learning objectives:**\n|\n| - Define machine learning and artificial intelligence.\n| - Describe applications of ML and AI.\n\nMachine learning (ML) is the field of study of programs or systems that trains\nmodels to make predictions from input data. ML powers some of the technologies\nthat have become integral to our daily lives, including maps, translation apps,\nand song recommendations, to name a few.\n\nYou may hear the term \"artificial intelligence,\" or AI, used to describe these\ntechnologies as well. Although sometimes used interchangeably, formally, ML is\nconsidered a subfield of AI. Artificial intelligence is a non-human program or\nmodel that can perform sophisticated tasks, such as image generation or speech\nrecognition.\n\nIf you are new to ML, we recommend [Introduction to Machine Learning](https://developers.google.com/machine-learning/intro-to-ml). If you are trying\nto decide whether to use ML to solve a problem, [Introduction to Machine\nLearning Problem Framing](https://developers.google.com/machine-learning/problem-framing) can help get\nyou started.\n\nFor definitions of key concepts in ML, please see [Machine Learning Glossary: ML\nFundamentals](https://developers.google.com/machine-learning/glossary/fundamentals)."]]
