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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...
| Call Number: | Libro Electrónico |
|---|---|
| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Sebastopol, CA :
O'Reilly Media,
[2019]
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |