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Interpretable and Trustworthy AI: Techniques and Frameworks
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Interpretable and Trustworthy AI: Techniques and Frameworks
Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/DL) algorithms. This book covers key requirements for interpretability and trustworthiness of AI models and how these needs can be fulfilled.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 10 de noviembre de 2025 |
| ISBN13 | 9781032960630 |
| Editores | Taylor & Francis Ltd |
| Páginas | 402 |
| Dimensiones | 241 × 164 × 28 mm · 742 g |
| Lengua | Inglés |
| Editor | Govardhanan, Kousalya |
| Editor | Mahajan, Shubham (SMVDU, Jammu, India) |
| Editor | Nalini, M. |
| Editor | Raj, Pethuru (Reliance Jio Platforms Ltd.) |
| Editor | Sundaravadivazhagan, B. (University of Technology and Applied Sciences-Al Mussana) |
