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Practical AI: A Blueprint for Building Intelligent Products
Hardcover
DatabasesGeneral ComputersProbability & Statistics
ISBN13: 9783032364401
Publisher: Springer
Published: Jan 11 2027
Pages: 259
Language: English
This book provides a comprehensive yet accessible introduction to the foundations, applications, and limitations of Artificial Intelligence, with a strong emphasis on practical relevance across industries. Designed for students without a technical background, the book explains the principles of data-driven models, classical machine learning, and modern generative AI, while addressing ethical, legal, and societal questions. The book walks through the full lifecycle of an AI product: from the foundational differences between AI, machine learning, and deep learning, through data quality and governance, model validation, and the operational realities of moving a prototype into production.
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