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Machine Learning for Engineering Applications Yan Jin
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Machine Learning for Engineering Applications
Yan Jin
(An online Python code portal will be set up for the book.) Finally, the book covers emerging and specialized topics, such as physics-informed neural networks and agentic architectures, showing how ML can be tailored to leverage engineering knowledge and domain constraints for complex engineering applications.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| A libérer | 28 octobre 2026 |
| ISBN13 | 9783032295118 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 1141 |
| Dimensions | 150 × 220 × 20 mm · 1,73 kg (Poids (estimé)) |
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