Embedding (machine learning)
In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of numerical vectors. == Technique == It also denotes the resulting representation, where meaningful patterns or relationships are preserved.
Source: Wikipedia — Embedding (machine learning) (CC BY-SA 4.0)