Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the concept of '''embedding space''' refers to a continuous, high-dimensional space where objects, such as words, images, or user profiles, can be represented as vectors. These vector representations capture the underlying relationships and semantics of the objects in a more compact and computationally efficient manner. Embedding spaces are utilized in various machine learning applications, includi..."
