Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning /

This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated m...

Full description

Bibliographic Details

Main Authors:	Kamath, Uday (Author), Liu, John (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Artificial intelligence. Machine learning. Artificial Intelligence. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book