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An introduction to machine learning interpretability : an applied perspective on fairness, accountability, transparency, and explainable AI /
Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate, but can also make their predictions difficult to understand. When accuracy outpaces interpretability, huma...
| Cote: | Libro Electrónico |
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| Auteurs principaux: | , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Sebastopol, CA :
O'Reilly Media,
[2019]
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| Édition: | Second edition. |
| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |