Explainable AI: Foundations, Methodologies and Applications
Language: English
Published by Springer, Palgrave Macmillan Okt 2022, 2022
Series: Book 188 of 188 - Intelligent Systems Reference Library
- Hardcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 140.48
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This item is printed on demand - Print on Demand Titel. Neuware -Black Box Models for eXplainable Artificial Intelligence.- Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why .- An Overview of Explainable AI Methods, Forms and Frameworks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
Seller Inventory # 9783031128066
- Title
- Explainable AI: Foundations, Methodologies and Applications
- Author
- Mayuri Mehta
- Publisher
- Springer, Palgrave Macmillan Okt 2022
- Publication year
- 2022
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3031128060
- ISBN 13
- 9783031128066
- Item weight
- 588 grams
- Dimensions
- 241x160x21 mm
- Series
- Book 188 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
Shipping rates from Germany to U.S.A.
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