Description

Book Synopsis
Principles of Soft Computing Using Python Programming

An accessible guide to the revolutionary techniques of soft computing

Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater.

Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and

Principles of Soft Computing Using Python

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A Hardback by Gypsy Nandi

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    View other formats and editions of Principles of Soft Computing Using Python by Gypsy Nandi

    Publisher: John Wiley & Sons Inc
    Publication Date: 1/30/2024 12:01:00 AM
    ISBN13: 9781394173136, 978-1394173136
    ISBN10: 139417313X

    Description

    Book Synopsis
    Principles of Soft Computing Using Python Programming

    An accessible guide to the revolutionary techniques of soft computing

    Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater.

    Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and

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