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Catalogue Information
Field name	Details
Dewey Class	519.5
Title	Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches ( EBook/) / edited by Antonio Lepore, Biagio Palumbo, Jean-Michel Poggi.
Added Personal Name	Lepore, Antonio
	Palumbo, Biagio
	Poggi, Jean-Michel
Other name(s)	SpringerLink (Online service)
Edition statement	1st ed. 2022.
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2022.
Physical Details	VII, 123 p. 45 illus., 32 illus. in color. : online resource.
ISBN	9783031124020
Summary Note	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 Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.:
Mode of acces to digital resource	Digital reproduction.-
	Cham :
	Springer International Publishing,
	2022. -
	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-3-031-12402-0
Links to Related Works	Subject References: Statistical Theory and Methods . Statistics . Statistics in Business, Management, Economics, Finance, Insurance . Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences . Authors: editor . Lepore, Antonio . Palumbo, Biagio . Poggi, Jean-Michel . Corporate Authors: SpringerLink (Online service) . Classification: 519.5 .

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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches

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