AI at the Edge

Solving Real-World Problems with Embedded Machine Learning

Author: Daniel Situnayake, Jenny Plunkett

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9789355422323
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    Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.

    This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. 

    This high-level road map helps you get started.

    • Develop your expertise in AI and ML for edge devices
    • Understand which projects are best solved with edge AI
    • Explore key design patterns for edge AI apps
    • Learn an iterative workflow for developing AI systems
    • Build a team with the skills to solve real-world problems
    • Follow a responsible AI process to create effective products
    Books
    Author
    Daniel Situnayake, Jenny Plunkett
    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
    516
    Publication Date
    16/01/2023
    Publisher
    Shroff/O'Reilly
    Year
    2023
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 0.95 inch

    Table of Contents (9789355422323_toc.pdf, 51 Kb) [Download]

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