Coefficient of variation and machine learning applications, K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
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Creator
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Label
Coefficient of variation and machine learning applications, K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Language
eng
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Main title
Coefficient of variation and machine learning applications
Oclc number
1129700745
Responsibility statement
K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Summary
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. --, Provided by publisher
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