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Springer Explainable AI: Foundations, Methodologies and Applications: 232 (Intelligent Systems Reference Library, 232)

Amazon

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£108.01 £98.10 £100.26 £102.42 £104.59 £106.75 £108.91 20 July 2026 06 August 2026 24 August 2026 11 September 2026 29 September 2026
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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 October 2022
Listed Since
28 June 2022

Barcode

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