Unsupervised learning: Difference between revisions
Created page with "==English== ===Noun=== '''unsupervised learning''' A machine-learning approach in which an AI system is trained on a dataset that has not been labeled by people, usually to identify patterns, structures, or groupings in data without a specific, known output in mind. #* For example, a model may analyze a large, unlabeled dataset of photos containing horses and zebras. Without being told what a zebra is, the AI may discover patterns on its own, such as striped or solid..." |
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A machine-learning approach in which an AI system is trained on a dataset that has not been labeled by people, usually to identify patterns, structures, or groupings in data without a specific, known output in mind. | A machine-learning approach in which an AI system is trained on a dataset that has not been labeled by people, usually to identify patterns, structures, or groupings in data without a specific, known output in mind. | ||
* For example, a model may analyze a large, unlabeled dataset of photos containing horses and zebras. Without being told what a zebra is, the AI may discover patterns on its own, such as striped or solid appearances, and cluster images with similar features together. | |||
====Related terms==== | ====Related terms==== | ||
Revision as of 19:16, 9 May 2026
English
Noun
unsupervised learning
A machine-learning approach in which an AI system is trained on a dataset that has not been labeled by people, usually to identify patterns, structures, or groupings in data without a specific, known output in mind.
- For example, a model may analyze a large, unlabeled dataset of photos containing horses and zebras. Without being told what a zebra is, the AI may discover patterns on its own, such as striped or solid appearances, and cluster images with similar features together.
Related terms
unsupervised learning machine learning artificial intelligence