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Coefficient of Variation and Machine Learning Applications (Hardcover) Loot Price: R1,712
Discovery Miles 17 120
Repayment Terms: R160 pm x 12*
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Coefficient of Variation and Machine Learning Applications (Hardcover): Nilanjan Dey, C. Raghavendra Rao, K. Hima Bindu,...

Coefficient of Variation and Machine Learning Applications (Hardcover)

Nilanjan Dey, C. Raghavendra Rao, K. Hima Bindu, Raghava Morusupalli

Series: Intelligent Signal Processing and Data Analysis

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Loot Price R1,712 Discovery Miles 17 120 | Repayment Terms: R160 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Intelligent Signal Processing and Data Analysis
Release date: December 2019
First published: 2020
Authors: Nilanjan Dey • C. Raghavendra Rao • K. Hima Bindu • Raghava Morusupalli
Dimensions: 216 x 138 x 15mm (L x W x T)
Format: Hardcover
Pages: 126
ISBN-13: 978-0-367-27328-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 0-367-27328-4
Barcode: 9780367273286

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