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Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications - Future Generation Information Systems
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Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications - Future Generation Information Systems
The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 27 de octubre de 2026 |
| ISBN13 | 9781041068761 |
| Editores | Taylor & Francis Ltd |
| Páginas | 512 |
| Dimensiones | 150 × 220 × 20 mm · 798 g (Peso (estimado)) |
| Editor | Aurangzeb, Khursheed |
| Editor | Khaitan, Supriya (GCET) |
| Editor | Rai, Hari Mohan |
| Editor | Rajendran, Ramkumar |
| Editor | Rohatgi, Divya |
| Editor | Sweta, Soni |
