Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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,...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
19 oktober 2022
Genrer
Economics, Finance, Business and Management
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9783031124020
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.