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Embedding (machine learning) - Wikipedia

In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of numerical vectors. [1] It also denotes the resulting representation, where meaningful patterns or relationships are preserved.

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