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Neural Stochastic Differential Equations for Probabilistic Modeling: Machine Learning, Sampling, and Inference - Machine Learning in Science, Technology, Engineering and Mathematics Qinsheng Zhang
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¥ 28.925
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発送予定日 2027年1月5日 - 2027年1月8日
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Neural Stochastic Differential Equations for Probabilistic Modeling: Machine Learning, Sampling, and Inference - Machine Learning in Science, Technology, Engineering and Mathematics
Qinsheng Zhang
This series is essential to meet the growing demand for structured and accessible resources that guide the integration of machine learning (ML) into engineering and technology. The series will provide a comprehensive resource that bridges the gap between theory and practice, making it invaluable for students, researchers, and professionals looking to leverage ML in their work.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| 発売予定 | 2026年12月28日 |
| ISBN13 | 9783111641201 |
| 出版社 | De Gruyter |
| ページ数 | 150 |
| 寸法 | 150 × 220 × 20 mm · 335 g (重量(概算)) |