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Explainable Ai : Foundations, Methodologies and Applications, Hardcover by Me...

Description: Explainable Ai : Foundations, Methodologies and Applications, Hardcover by Mehta, Mayuri (EDT); Palade, Vasile (EDT); Chatterjee, Indranath (EDT), ISBN 3031128060, ISBN-13 9783031128066, Like New Used, Free shipping in the US 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. Th 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. Th can be used as a referenc 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.

Price: 186.77 USD

Location: Jessup, Maryland

End Time: 2024-11-16T21:35:19.000Z

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Explainable Ai : Foundations, Methodologies and Applications, Hardcover by Me...

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

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Book Title: Explainable Ai : Foundations, Methodologies and Applications

Number of Pages: Xxii, 256 Pages

Language: English

Publication Name: Explainable Ai: Foundations, Methodologies and Applications

Publisher: Springer International Publishing A&G

Publication Year: 2022

Subject: Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / General, General

Item Weight: 20.7 Oz

Type: Textbook

Subject Area: Mathematics, Computers, Technology & Engineering, Science

Item Length: 9.3 in

Author: Vasile Palade

Series: Intelligent Systems Référence Library

Item Width: 6.1 in

Format: Hardcover

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