Machine Learning for Engineering Applications - Yan Jin
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30 dienu atgriešanas politika
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 ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Autors | Yan Jin |
|---|---|
| Izdevējs | Springer Nature Switzerland AG |
| Izlaides gads | 2026 |
| Vāka tips | Cietais vāks |
| EAN | 9783032295118 |