Pastāsti draugiem par šo preci:
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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Tiks izlaists | 2026. gada 28. decembris |
| ISBN13 | 9783111641201 |
| Izdevēji | De Gruyter |
| Lapas | 150 |
| Izmēri | 150 × 220 × 20 mm · 335 g (Svars (aptuveni)) |
Ziemassvētku dāvanas var atgriezt līdz 31. janvārim