Understanding Artificial Intelligence How Smart Machines Learn : Understanding Artificial Intelligence How Smart Machines Learn ISBN: 978-1-972925-08-9
Language: English
Published by Hala, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 89.70
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence is rapidly transforming the modern world, influencing education, business, healthcare, communication, transportation, and everyday technology. From search engines and recommendation systems to intelligent assistants and machine learning platforms, AI systems are becoming part of daily life. Understanding how these systems work is now an essential form of modern literacy.Understanding Artificial Intelligence: How Smart Machines Learn introduces readers to the foundational concepts behind artificial intelligence in a clear, structured, and easy-to-understand format. Designed for students, educators, and curious learners, this book explains how intelligent machines process information, recognize patterns, learn from data, and improve through training and algorithms.Readers will explore key topics including machine learning, data, algorithms, training systems, neural networks, pattern recognition, and the differences between human thinking and machine thinking. The book also addresses ethical responsibility, bias, human oversight, and the importance of understanding both the strengths and limitations of AI systems.Part of the IntelliGloss AI Education Series, this book focuses on building conceptual understanding rather than advanced coding, making it accessible to beginners while still providing strong educational value. Through chapter summaries, reflection sections, worksheets, quizzes, and guided explanations, readers gain a deeper understanding of how artificial intelligence works and why it matters in today's rapidly evolving technological world.…
Seller Inventory # 9781972925089
- Title
- Understanding Artificial Intelligence How Smart Machines Learn : Understanding Artificial Intelligence How Smart Machines Learn ISBN: 978-1-972925-08-9
- Author
- Hala Hala
- Publisher
- Hala
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1972925083
- ISBN 13
- 9781972925089
- Item weight
- 644 grams
- Dimensions
- 280x216x11 mm
Artificial Intelligence is rapidly transforming the modern world, influencing education, business, healthcare, communication, transportation, and everyday technology. From search engines and recommendation systems to intelligent assistants and machine learning platforms, AI systems are becoming part of daily life. Understanding how these systems work is now an essential form of modern literacy.
Understanding Artificial Intelligence: How Smart Machines Learn introduces readers to the foundational concepts behind artificial intelligence in a clear, structured, and easy-to-understand format. Designed for students, educators, and curious learners, this book explains how intelligent machines process information, recognize patterns, learn from data, and improve through training and algorithms.
Readers will explore key topics including machine learning, data, algorithms, training systems, neural networks, pattern recognition, and the differences between human thinking and machine thinking. The book also addresses ethical responsibility, bias, human oversight, and the importance of understanding both the strengths and limitations of AI systems.
Part of the IntelliGloss AI Education Series, this book focuses on building conceptual understanding rather than advanced coding, making it accessible to beginners while still providing strong educational value. Through chapter summaries, reflection sections, worksheets, quizzes, and guided explanations, readers gain a deeper understanding of how artificial intelligence works and why it matters in today's rapidly evolving technological world.
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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