Essential Math for AI

Next-Level Mathematics for Efficient and Successful AI Systems

Author: Hala Nelson

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9789355422422
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    Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.

    Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.

    • Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more
    • Learn how to adapt mathematical methods to different applications from completely different fields
    • Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions
    Books
    Author
    Hala Nelson
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Lead time to ship in days (if not in stock)
    ships in 12-15 days
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    604
    Publication Date
    07/01/2023
    Publisher
    Shroff/O'Reilly
    Year
    2023
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 1.12 inch

    Table of Contents (9789355422422_toc.pdf, 151 Kb) [Download]

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