Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis) - Tapa blanda

Libro 5 de 12: Intelligent Signal Processing and Data Analysis

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

 
9781032084190: Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
Tapa blanda
ISBN 10: 1032084197 ISBN 13: 9781032084190
Editorial: CRC Press, 2021

Sinopsis

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.

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Acerca del autor

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1032084197
ISBN 13 
9781032084190
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
148
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9780367273286: Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)

Edición Destacada

ISBN 10:  0367273284 ISBN 13:  9780367273286
Editorial: CRC Press, 2019
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