Coefficient of Variation and Machine Learning Applications - Couverture souple

Morusupalli, Raghava; Dey, Nilanjan; Rao, C. Raghavendra

Couverture souple

ISBN 10 : 1032084197 ISBN 13 : 9781032084190

Editeur : CRC Press, 2021

Synopsis

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.

A propos du livre

À propos de l'auteur

K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao

À propos de la quatrième de couverture

This book explains computational strategies, properties of Coefficient of Variation (CV) and related metadata extraction. It includes representational/classification strategies through illustrative explanations. CV in context of contemporary Machine Learning strategies and Big Data paradigms is explained through selected applications.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1032084197
• ISBN 13: 9781032084190
• Reliure: Broché
• Nombre de pages: 148
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne