Coefficient of Variation and Machine Learning Applications - Rilegato

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

Rilegato

ISBN 10: 0367273284 ISBN 13: 9780367273286

Casa editrice: CRC Press, 2019

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.

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Informazioni sull?autore

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

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 0367273284
• ISBN 13: 9780367273286
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 148
• Contatto del produttore: CRC Press; https://www.routledge-ny.com; ; 6000 BROKEN SOUND PARKWAY, NW SUITE 300; BOCA RATON; FL; 33487; U.S.A.
• Persona responsabile: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Germania