Advances in partitioning techniques: a prospective towards artificial intelligence
Auteur :
Guggari, Shankru / V, Umadevi / Kadappa, Vijayakumar
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032750019
Date de publication :
1 juin 2025
Dimensions :
23,4 x 15,6 cm
Poids :
410 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
The book discusses various partitioning strategies tailored for traditional machine learning algorithms. This book is a vital resource, illuminating the path towards unlocking the full potential of partitioning in shaping the future of AI technologies.