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Machine Learning for Engineering Applications Yan Jin
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | August 12, 2026 |
| ISBN13 | 9783032295118 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 785 |
| Dimensions | 150 × 220 × 20 mm · 1.20 kg (Weight (estimated)) |
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