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Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks /
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Berkeley, CA :
Apress L.P.,
2022.
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| Sujets: | |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |