Explainable AI: Foundations, Methodologies and Applications (Intelligent Systems Reference Library)
ISBN 10: 3031128095 ISBN 13: 9783031128097
Editorial: Springer, 2023
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Descripción
Descripción:
In. N° de ref. del artículo ria9783031128097_new
Sinopsis:
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.
The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
De la contraportada:
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.
The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
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Detalles bibliográficos
Título: Explainable AI: Foundations, Methodologies ...
Editorial: Springer
Año de publicación: 2023
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Explainable AI: Foundations, Methodologies and Applications
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ISBN 10: 3031128095
ISBN 13: 9783031128097
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Explainable AI: Foundations, Methodologies and Applications
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Springer International Publishing, 2023
ISBN 10: 3031128095
ISBN 13: 9783031128097
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written for beginners and advanced machine learning users, including engineers and researchers on AI and applicationsCovers concepts such as black box models, transparency, interpretable machine learning and explanationsPresents evaluation . Nº de ref. del artículo: 1128556062
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Explainable AI: Foundations, Methodologies and Applications
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Taschenbuch. Condición: Neu. Explainable AI: Foundations, Methodologies and Applications | Mayuri Mehta (u. a.) | Taschenbuch | xxii | Englisch | 2023 | Springer | EAN 9783031128097 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 127803795
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Explainable AI: Foundations, Methodologies and Applications
Publicado por
Springer International Publishing, 2023
ISBN 10: 3031128095
ISBN 13: 9783031128097
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations. Nº de ref. del artículo: 9783031128097
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Explainable AI: Foundations, Methodologies and Applications
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Springer International Publishing, Springer International Publishing Okt 2023, 2023
ISBN 10: 3031128095
ISBN 13: 9783031128097
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Taschenbuch. Condición: Neu. Neuware -This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. Nº de ref. del artículo: 9783031128097
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Explainable AI: Foundations, Methodologies and Applications
Publicado por
Springer International Publishing Okt 2023, 2023
ISBN 10: 3031128095
ISBN 13: 9783031128097
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations. 280 pp. Englisch. Nº de ref. del artículo: 9783031128097
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