Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches /

This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry. Different views in the context of Ind...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Lepore, Antonio (Editor), Palumbo, Biagio (Editor), Poggi, Jean-Michel (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Subjects:	Statistics . Statistical Theory and Methods. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Statistics in Business, Management, Economics, Finance, Insurance. Electronic books.
Online Access:	Connect to the full text of this electronic book