"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."--
Bibliografische Angaben
Februar 2025, ca. 496 Seiten, Englisch
Wiley
978-1-394-27294-5
Schlagworte
Inhalt
"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."--