Coefficient of Variation and Machine Learning Applications e-bog
177,19 DKK
(inkl. moms 221,49 DKK)
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 strate...
E-bog
177,19 DKK
Forlag
CRC Press
Udgivet
20 november 2019
Længde
126 sider
Genrer
Probability and statistics
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781000752229
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.