Coefficient of Variation and Machine Learning Applications (Paperback)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Intelligent Signal Processing and Data Analysis
Release date:	June 2021
First published:	2020
Authors:	Nilanjan Dey • C. Raghavendra Rao • K. Hima Bindu • Raghava Morusupalli
Dimensions:	216 x 138mm (L x W)
Format:	Paperback
Pages:	148
ISBN-13:	978-1-03-208419-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-208419-7
Barcode:	9781032084190

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