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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days.
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Ajouter au panierHardcover. Etat : Brand New. 408 pages. 9.19x6.13x9.21 inches. In Stock.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2026
ISBN 10 : 1032580925 ISBN 13 : 9781032580920
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Ajouter au panierPaperback. Etat : new. Paperback. Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains.Features:Presents a clear focus on the application of explainable AI systems while tackling important issues of interpretability and transparency.Reviews adept handling with respect to existing software and evaluation issues of interpretability.Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression.Focuses on interpreting black box models like feature importance and accumulated local effects.Discusses capabilities of explainability and interpretability.This book is aimed at graduate students and professionals in computer engineering and networking communications. This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2026
ISBN 10 : 1032580925 ISBN 13 : 9781032580920
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Ajouter au panierPaperback. Etat : new. Paperback. Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains.Features:Presents a clear focus on the application of explainable AI systems while tackling important issues of interpretability and transparency.Reviews adept handling with respect to existing software and evaluation issues of interpretability.Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression.Focuses on interpreting black box models like feature importance and accumulated local effects.Discusses capabilities of explainability and interpretability.This book is aimed at graduate students and professionals in computer engineering and networking communications. This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierHRD. 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.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. B.K. Tripathy is a distinguished researcher in the fields of Computer Science and Mathematics and is working as a professor (Higher Academic Grade) in the SCORE School of VIT, Vellore. He received his Ph.D. degree in 1983. During his student caree.
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Ajouter au panierBuch. Etat : Neu. Explainable, Interpretable, and Transparent AI Systems | B. K. Tripathy (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032528564 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc.