"Before feeding data into a machine-learning model, it is "vectorized" -- converted into numbers representing a point or point sequence in the vector space. The vectors in machine learning signify input data, including bias and weight."--
Informations bibliographiques
février 2025, env. 496 Pages, Anglais
Wiley
978-1-394-27294-5
Mots-clés
Contenu
"Before feeding data into a machine-learning model, it is "vectorized" -- converted into numbers representing a point or point sequence in the vector space. The vectors in machine learning signify input data, including bias and weight."--