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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis) - Hardcover
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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K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
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Coefficient of Variation and Machine Learning Applications
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COEFFICIENT OF VARIATION AND MACHINE LEARNING APPLICATIONS
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Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
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Hima Bindu, K: Coefficient of Variation and Machine Learning
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 594569783
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