Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2022
First published:	2022
Editors:	Antonio Lepore • Biagio Palumbo • Jean-Michel Poggi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	123
Edition:	1st ed. 2022
ISBN-13:	978-3-03-112401-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-112401-4
Barcode:	9783031124013

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