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Coefficient Variation Machine Learning by Hima Bindu (21 results)
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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
Book 5 of 12: Intelligent Signal Processing and Data AnalysisLanguage: English
Published by CRC Press 2021-06-30, 2021
ISBN 10: 1032084197 ISBN 13: 9781032084190
Paperback. Condition: New.
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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
Book 5 of 12: Intelligent Signal Processing and Data AnalysisSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 30.69
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: As New. Unread book in perfect condition.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisLanguage: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367273284 ISBN 13: 9780367273286
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Gebunden. Condition: New. K. Himabindu is alumni of NIT- Warangal, JNTU- Hyderabad, and University of Hyderabad. She has a decade of experience in Data Mining and Machine Learning. She is currently working as a Professor in Vishnu Institute of Technology, Bhimavaram and working o.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisLanguage: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367273284 ISBN 13: 9780367273286
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisLanguage: English
Published by Taylor & Francis Ltd Dez 2019, 2019
ISBN 10: 0367273284 ISBN 13: 9780367273286
Buch. Condition: Neu. Neuware.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Coefficient of Variation and Machine Learning Applications
Book 5 of 12: Intelligent Signal Processing and Data AnalysisSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 32.05
£ 3.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
