Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Gives an introduction to interpretability in statistical and machine learning approaches for Industry 4.0 Provides different views in connection with explainability, generalizability and sensitivity analysis Illuminates interpretability via random forests and flexible generalized additive models
Autor*in
Antonio Lepore
Themen in »Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches«
Generalized Additive Models Machine Learning Sensitivity Additive Manufacturing Systems Interpretability