Ethics in Data Science is a practical guide to navigatie the moral challenges of modern data use, covering topics from ethical data collection and privacy to algorithmic bias and AI accountability. The book offers clear frameworks, real-world case studies, and regulatory insights. Each chapter includes learning outcomes, summaries, and assessments to reinforce the understanding of the readers. The book is designed for students, educators, and professionals. This book emphasizes transparency, fairness, and responsibility in every stage of the data lifecycle - whether it is with regard to building models or shaping policies - and helps to make ethical decisions in an increasingly data-driven world.
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. 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 L1-9798899295379
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. Ethics in Data Science is a practical guide to navigatie the moral challenges of modern data use, covering topics from ethical data collection and privacy to algorithmic bias and AI accountability. The book offers clear frameworks, real-world case studies, and regulatory insights. Each chapter includes learning outcomes, summaries, and assessments to reinforce the understanding of the readers. The book is designed for students, educators, and professionals. This book emphasizes transparency, fairness, and responsibility in every stage of the data lifecycle - whether it is with regard to building models or shaping policies - and helps to make ethical decisions in an increasingly data-driven world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798899295379
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Neuware - Ethics in Data Science is a practical guide to navigatie the moral challenges of modern data use, covering topics from ethical data collection and privacy to algorithmic bias and AI accountability. The book offers clear frameworks, real-world case studies, and regulatory insights. Each chapter includes learning outcomes, summaries, and assessments to reinforce the understanding of the readers. The book is designed for students, educators, and professionals. This book emphasizes transparency, fairness, and responsibility in every stage of the data lifecycle - whether it is with regard to building models or shaping policies - and helps to make ethical decisions in an increasingly data-driven world. N° de réf. du vendeur 9798899295379
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