Vector Machine Learning
noun
Definition 1: In machine learning, an ordered array of values, usually floating-point numbers, characterized by its length or dimension [Google ML Glossary].
Example in context: “We obtained 300-dimensional embedding vectors of 50000 words for English, Japanese, and Chinese, respectively.” [Li et al. 2024]
Definition 2: A numerical representation used in computation and machine learning to encode an input, object, state, or other model-relevant information [Machine Learning Glossary].
Example in context: “Each token is then transformed into a vector through the embedding layer.” [Alam et al. 2024]
Related terms: feature vector, embedding vector, vector space, scalar, cosine similarity, word embedding