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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 also makes their predictions difficult to understand. When accuracy outpaces interpretability, human tr...
| Call Number: | Libro Electrónico |
|---|---|
| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Sebastopol, CA :
O'Reilly Media,
[2018]
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |