Isbn: 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 (5 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. 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 differentEvery chapter ends with two short, practical sections: Reality Check - a common AI myth, and the honest truth behind itPractice Drill - a five-minute hands-on exercise, no coding requiredNo 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 relateHow machines "learn" from data, and why that's different from human understandingSupervised, unsupervised, and reinforcement learning, explained simplyHow neural networks, transformers, and large language models really workWhy AI "hallucinates," and how to spot itWhere computer vision and generative AI succeed, and where they quietly failHow to evaluate whether an AI model is actually good, not just impressive-lookingThe real ethical questions around bias, privacy, and accountabilityHow businesses actually succeed, and mostly fail, at implementing AIWhere 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…