Coefficient of Variation and Machine Learning Applications 1st Edition

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

ISBN 10: 1032084197 / ISBN 13: 9781032084190

Editore: CRC Press, 2021

Riguardo questo articolo

Codice articolo 379138878

Dati bibliografici

• Titolo: Coefficient of Variation and Machine Learning Applications 1st Edition
• Editore: CRC Press
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1032084197
• ISBN 13: 9781032084190
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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