Designing Autonomous AI: A Guide for Machine Teaching

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9789355422866
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    Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.

    Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI.

    This book examines:

    • Differences between and limitations of automated, autonomous, and human decision-making
    • Unique advantages of autonomous AI for real-time decision-making, with use cases
    • How to design an autonomous AI from modular components and document your designs\
    Books
    Author
    Kence Anderson
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Lead time to ship in days (if not in stock)
    ships 12-15 days (In Print)
    Leadtime to ship in days (default)
    ships 12-15 days (In Print)
    Pages
    248
    Publication Date
    27/06/2022
    Publisher
    Shroff/O'Reilly
    Year
    2022
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 0.5 inch

    Table of Contents (9789355422866_toc.pdf, 43 Kb) [Download]

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