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Coefficient of Variation and Machine Learning Applications. Seller Inventory # BBS-9781032084190
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.
About the Author: K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Title: Coefficient of Variation and Machine ...
Publisher: CRC Press 6/30/2021
Publication Date: 2021
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra RaoCoefficient 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. Thi. Seller Inventory # 487064518
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