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9798307823330: Explainable AI Solutions: Creating Transparent and Trustworthy Machine Learning Models
  • ÉditeurIndependently published
  • Date d'édition2025
  • ISBN 13 9798307823330
  • ReliureBroché
  • Langueanglais
  • Nombre de pages287

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Chesterfield, Greyson
Edité par Independently published, 2025
ISBN 13 : 9798307823330
Neuf Couverture souple
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Vendeur : California Books, Miami, FL, Etats-Unis

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Etat : New. Print on Demand. N° de réf. du vendeur I-9798307823330

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Greyson Chesterfield
Edité par Independently Published, 2025
ISBN 13 : 9798307823330
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Paperback. Etat : new. Paperback. "Explainable AI Solutions: Creating Transparent and Trustworthy Machine Learning Models" is the ultimate guide for anyone seeking to bridge the gap between artificial intelligence and human understanding. In a world where AI powers critical decisions in healthcare, finance, education, and more, trust and transparency have never been more important. This book offers a step-by-step approach to building AI models that are not just accurate but also interpretable, ensuring users, stakeholders, and regulators can rely on them.Packed with actionable insights, practical examples, and hands-on techniques, this book covers everything from the basics of explainable AI (XAI) to advanced methods like SHAP, LIME, and counterfactual explanations. Learn how to tackle the "black box" problem, improve model accountability, and align your AI solutions with ethical and legal standards.Whether you're a data scientist, engineer, business leader, or policymaker, this book will empower you to create AI systems that earn trust and deliver results. Dive into real-world use cases and case studies, and discover how explainable AI can transform industries while keeping fairness and transparency at the forefront.With Explainable AI Solutions, you'll not only master the tools and techniques to build transparent machine learning models but also gain the confidence to communicate their decisions effectively to non-technical audiences. Make AI work for everyone-start building models that inspire confidence today! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798307823330

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Chesterfield, Greyson
Edité par Independently Published, 2025
ISBN 13 : 9798307823330
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798307823330

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Chesterfield, Greyson
Edité par Independently Published, 2025
ISBN 13 : 9798307823330
Neuf PAP
impression à la demande

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798307823330

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Chesterfield, Greyson
Edité par Independently published, 2025
ISBN 13 : 9798307823330
Neuf Couverture souple

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

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Chesterfield, Greyson
ISBN 13 : 9798307823330
Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Neuware - 'Explainable AI Solutions: Creating Transparent and Trustworthy Machine Learning Models' is the ultimate guide for anyone seeking to bridge the gap between artificial intelligence and human understanding. In a world where AI powers critical decisions in healthcare, finance, education, and more, trust and transparency have never been more important. This book offers a step-by-step approach to building AI models that are not just accurate but also interpretable, ensuring users, stakeholders, and regulators can rely on them. N° de réf. du vendeur 9798307823330

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Greyson Chesterfield
Edité par Independently Published, 2025
ISBN 13 : 9798307823330
Neuf Paperback

Vendeur : CitiRetail, Stevenage, Royaume-Uni

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Paperback. Etat : new. Paperback. "Explainable AI Solutions: Creating Transparent and Trustworthy Machine Learning Models" is the ultimate guide for anyone seeking to bridge the gap between artificial intelligence and human understanding. In a world where AI powers critical decisions in healthcare, finance, education, and more, trust and transparency have never been more important. This book offers a step-by-step approach to building AI models that are not just accurate but also interpretable, ensuring users, stakeholders, and regulators can rely on them.Packed with actionable insights, practical examples, and hands-on techniques, this book covers everything from the basics of explainable AI (XAI) to advanced methods like SHAP, LIME, and counterfactual explanations. Learn how to tackle the "black box" problem, improve model accountability, and align your AI solutions with ethical and legal standards.Whether you're a data scientist, engineer, business leader, or policymaker, this book will empower you to create AI systems that earn trust and deliver results. Dive into real-world use cases and case studies, and discover how explainable AI can transform industries while keeping fairness and transparency at the forefront.With Explainable AI Solutions, you'll not only master the tools and techniques to build transparent machine learning models but also gain the confidence to communicate their decisions effectively to non-technical audiences. Make AI work for everyone-start building models that inspire confidence today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798307823330

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