Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches   (e-bog) af -
Poggi, Jean-Michel (redaktør)

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
Forfattere Poggi, Jean-Michel (redaktør)
Forlag Springer
Udgivet 19 oktober 2022
Genrer Economics, Finance, Business and Management
Sprog English
Format pdf
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.