Unsupervised Learning in Artificial Intelligence

Unsupervised learning involves computers independently analyzing data to discover hidden patterns and structures without prior guidance or labels. This approach enables the identification of intrinsic data features and relationships.

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Unsupervised learning is when a computer explores the data on its own to find hidden patterns and structures, without being told what to look for. Some examples of unsupervised learning are recommendation systems, cybersecurity, and financial forecasting. To learn more, check our our tutorial on AI: https://edu.gcfglobal.org/en/the-ai-revolution/ #ai #tech #innovation

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31.6K

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285

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1:38

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Published
Jul 28, 2023

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hd

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