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Explainable Artificial Intelligence and Interpretable Machine Learning in Education: A Researcher’s Guide to Data Science
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.
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 即将发行 | 2026年8月18日 |
| ISBN13 | 9781041149019 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 250 |
| 商品尺寸 | 150 × 220 × 20 mm · 533 g (预估重量) |
| 编辑 | Khine, Myint Swe |
