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Machine Learning Fundamentals

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Paperback / softback
225 Pages
31 March 2025
$83.20
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Machine Learning Fundamentals provides a comprehensive overview of data science, emphasizing machine learning (ML). This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time. This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas.

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    Product Details
    ISBN-13
    9781637427484
    Author
    Amar Sahay
    Publisher
    BUSINESS EXPERT PRESS
    Published
    31 March 2025
    Format
    Paperback / softback
    Pages
    225

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    $83.20
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Machine Learning Fundamentals

    $83.20

    Description

    Machine Learning Fundamentals provides a comprehensive overview of data science, emphasizing machine learning (ML). This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time. This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas.

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