Contenu
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable. This book is valuable for students across disciplines, including students of computational sciences, statistics, and mathematics.
Informations bibliographiques
avril 2025, env. 342 Pages, Anglais
Taylor and Francis
978-1-032-28330-2