Téléchargez le livre : Explainable AI: Foundations, Methodologies and Applications

Explainable AI: Foundations, Methodologies and Applications

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Springer


Paru le : 2022-10-19

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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.
Pages
256 pages
Collection
n.c
Parution
2022-10-19
Marque
Springer
EAN papier
9783031128066
EAN PDF
9783031128073
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
9830 Ko
Prix
147,69 €
EAN EPUB
9783031128073
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
35000 Ko
Prix
147,69 €

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