Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications - Marcus J. Neuer
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Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physic ... Full description
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Description
More Information
| Author | Marcus J. Neuer |
|---|---|
| Publisher | Springer Berlin Heidelberg |
| Release year | 2024 |
| Cover type | Softcover |
| EAN | 9783662699942 |