Coefficient of Variation and Machine Learning Applications

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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.

Book details

Series:
Intelligent Signal Processing and Data Analysis
Author:
K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
ISBN:
9781000752625
Related ISBNs:
9780429296185, 9780367273286, 9781032084190
Publisher:
CRC Press
Pages:
126
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-12-08
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
Taylor & Francis Group, LLC 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Nonfiction, Technology