Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 23,68
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Añadir al carritoCondición: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Librería: Books-FYI, Inc., Cadiz, KY, Estados Unidos de America
EUR 20,19
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Añadir al carritopaperback. Condición: Good. There may be a price sticker on the front or back of the book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 27,72
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 29,24
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 33,37
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 31,25
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,41
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Añadir al carritoCondición: As New. Unread book in perfect condition.
ISBN 10: 8868806789 ISBN 13: 9788868806781
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 26,59
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Añadir al carritoCondición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 40,62
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2023. 1st ed. paperback. . . . . .
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 40,57
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,17
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 37,78
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Añadir al carritoPaperback. Condición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 43,36
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Añadir al carritoPaperback. Condición: Brand New. 210 pages. 9.25x6.10x0.45 inches. In Stock.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 44,12
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 41,02
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 49,83
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Añadir al carritoCondición: New. 2023. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 60,38
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Añadir al carritoCondición: New.
EUR 62,70
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Añadir al carritoPaperback. Condición: New. Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will LearnUnderstand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI modelsWho This Book Is ForAI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.
EUR 60,23
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 196.
EUR 58,88
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Añadir al carritoCondición: New. pp. 196.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 52,40
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 52,40
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 52,38
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 67,96
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 212.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 55,20
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,05
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 193 pages. 9.25x6.10x0.42 inches. In Stock.
EUR 50,89
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Añadir al carritoCondición: New. Covers all aspects of responsible AI, from understanding bias to ensuring robustnessCovers methods and tools for achieving transparency and explainability in AIIncludes code examples and tools to translate principles into practice.
Idioma: Inglés
Publicado por Apress, Apress Nov 2023, 2023
ISBN 10: 1484299817 ISBN 13: 9781484299814
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 48,14
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, yoüll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI¿s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions.What You Will LearnUnderstand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI modelsWho This Book Is ForAI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AIAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 196 pp. Englisch.
EUR 58,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will LearnUnderstand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI modelsWho This Book Is ForAI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.
Librería: Buchpark, Trebbin, Alemania
EUR 25,60
Cantidad disponible: 7 disponibles
Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, yoüll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI¿s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will LearnUnderstand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI modelsWho This Book Is ForAI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI.