by Michele Laurelli
A dense vector representation of discrete entities (words, images) in a continuous space.
Embeddings map entities to vectors where similar elements are close in space. Word2Vec and GloVe create word embeddings. Essential for NLP and recommendation systems.
Word2Vec for word representation
Product embeddings for recommendations
Sentence embeddings for semantic similarity