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Taschenbuch. Condition: Neu. Proceedings of International Conference on Computational Intelligence and Data Engineering | ICCIDE 2021 | Nabendu Chaki (u. a.) | Taschenbuch | Lecture Notes on Data Engineering and Communications Technologies | xii | Englisch | 2022 | Springer | EAN 9789811671814 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811671818 ISBN 13: 9789811671814
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Paperback. Condition: new. Paperback. This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021). This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: 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.
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ISBN 10: 1032580925 ISBN 13: 9781032580920
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Add to basketPaperback. Condition: 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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Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811671818 ISBN 13: 9789811671814
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, .
Language: English
Published by Springer Nature Singapore Mrz 2022, 2022
ISBN 10: 9811671818 ISBN 13: 9789811671814
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021). 484 pp. Englisch.
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