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Coefficient of Variation and Machine Learning Applications

List Price: $31.99
SKU:
9781032084190
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  • Product Details

    Author:
    K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
    Format:
    Paperback
    Pages:
    148
    Publisher:
    CRC Press (June 30, 2021)
    Language:
    English
    ISBN-13:
    9781032084190
    Weight:
    6.5oz
    Dimensions:
    5.4375" x 8.5"
    File:
    TAYLORFRANCIS-TayFran_260513043736269-20260513.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $31.99
    Country of Origin:
    United States
    Series:
    Intelligent Signal Processing and Data Analysis
    Case Pack:
    50
    As low as:
    $30.39
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    CRC Press
  • Overview

    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.