Interpretability for Industry 4.0 statistical and machine learning approaches /
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 Ind...
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| Other Authors: |
Lepore, Antonio,, Palumbo, Biagio,, Poggi, Jean-Michel, 1960-, SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
Cham :
Springer,
[2022]
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| Physical Description: |
1 online resource (vii, 123 pages) : illustrations (some color)
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| Subjects: |
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