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Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A Researcher’s Guide to Data Science
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Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A Researcher’s Guide to Data Science
Explainable AI (XAI) and interpretable machine learning are becoming essential in educational research, offering transparency and practical insight. This book provides a comprehensive guide to applying these technologies to analyze data, assess learning, and design adaptive environments while maintaining ethical and interpretable AI use.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 18 de agosto de 2026 |
| ISBN13 | 9781041149019 |
| Editores | Taylor & Francis Ltd |
| Páginas | 250 |
| Dimensiones | 150 × 220 × 20 mm · 533 g (Peso (estimado)) |
| Editor | Khine, Myint Swe |
