Description

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression.

Fundamentals of Pattern Recognition and Machine Learning

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Hardback by Ulisses Braga-Neto

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This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including... Read more

    Publisher: Springer International Publishing AG
    Publication Date: 1/8/2024
    ISBN13: 9783031609497, 978-3031609497
    ISBN10: 3031609492

    Non Fiction , Mathematics & Science , Education

    Description

    This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression.

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