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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis) - Softcover
Synopsis
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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About the Author
K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
"About this title" may belong to another edition of this title.
- PublisherCRC Press
- Publication date2021
- ISBN 10 1032084197
- ISBN 13 9781032084190
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages148
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Coefficient of Variation and Machine Learning Applications
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ISBN 10: 1032084197
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