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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
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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 28 de diciembre de 2026 |
| ISBN13 | 9783111641201 |
| Editores | De Gruyter |
| Páginas | 150 |
| Dimensiones | 150 × 220 × 20 mm · 335 g (Peso (estimado)) |
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