Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches (1st ed. 2022)
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031124020
- Related ISBNs:
- 9783031124013
- Publisher:
- Springer International Publishing
- Date of Addition:
- 10/28/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Business and Finance, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Antonio Lepore
- Edited by:
- Biagio Palumbo
- Edited by:
- Jean-Michel Poggi
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- by Antonio Lepore
- by Biagio Palumbo
- by Jean-Michel Poggi
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- in Mathematics and Statistics