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Beyond the Hype: A Practical Guide to AI and Machine Learning for the Real World | The No-Hype Guide to How AI Really Works | Cut Through the Noise and Understand What AI Can Actually Do - Couverture souple

Mercer, Ryan

 
9798187957989: Beyond the Hype: A Practical Guide to AI and Machine Learning for the Real World | The No-Hype Guide to How AI Really Works | Cut Through the Noise and Understand What AI Can Actually Do
Couverture souple
ISBN 13 : 9798187957989
Editeur : Independently published, 2026

Synopsis

Everyone is talking about AI. Almost no one can tell you, clearly and honestly, what it actually does.

Artificial intelligence has become the most overused word in modern language, stretched to cover everything from a spreadsheet formula to speculative super intelligence. Beyond the Hype cuts through that noise with a clear, jargon-free guide to how AI and machine learning actually work, what they can realistically do, and where the hype quietly outruns the substance.

You don't need a background in coding, math, or statistics to read this book. Every concept is explained in plain English first, from neural networks and large language models to computer vision and generative AI, with technical detail introduced only as far as it helps you think clearly about the technology.

What makes this book different

Every chapter ends with two short, practical sections:

  • Reality Check - a common AI myth, and the honest truth behind it
  • Practice Drill - a five-minute hands-on exercise, no coding required

    No hype. No fear-mongering. Just a clear-eyed look at a technology that is genuinely reshaping the world, minus the marketing.

    Inside, you'll learn:
    • What AI, machine learning, and deep learning actually mean, and how they relate
    • How machines "learn" from data, and why that's different from human understanding
    • Supervised, unsupervised, and reinforcement learning, explained simply
    • How neural networks, transformers, and large language models really work
    • Why AI "hallucinates," and how to spot it
    • Where computer vision and generative AI succeed, and where they quietly fail
    • How to evaluate whether an AI model is actually good, not just impressive-looking
    • The real ethical questions around bias, privacy, and accountability
    • How businesses actually succeed, and mostly fail, at implementing AI
    • Where the field is headed, without hype or panic in either direction

    Whether you're a professional trying to make sense of AI's impact on your industry, a student building a foundation before deeper technical study, a manager evaluating a vendor's pitch, or simply someone who wants to separate signal from noise, this book was written for you.

    Stop reading AI headlines you can't evaluate. Start understanding what's actually happening.

    Includes a full glossary of AI and machine learning terms for quick reference.

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Independently published
    Date d'édition
    2026
    Langue
    anglais
    ISBN 13 
    9798187957989
    Reliure
    Broché
    Nombre de pages
    73
    Coordonnées du fabricant
    Manufactured by Amazon on behalf of the author
    https://www.amazon.fr/hz/contact-us

    c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
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    Luxembourg