Machine Learning for Engineering Applications - Yan Jin
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1 Introduction to Machine Learning and AI in Engineering.- 2 Linear Algebra Essentials.- 3 Probability and Statistics Fundamentals.- 4 Optimization Basics.- 5 Introduction to Machine Learning.- 6 Supervised Learning: Regression.- 7 Supervised Learning: Classification.- 8 Ensemble Methods.- 9 Neural Networks and Deep Learning.- 10 Unsupervised Learning.- 11 Reinforcement Learning.- 12 Generative Models.- 13 ... Full description
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Description
More Information
| Author | Yan Jin |
|---|---|
| Publisher | Springer Nature Switzerland AG |
| Release year | 2026 |
| Cover type | Hardcover |
| EAN | 9783032295118 |