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Fundamentals of Robust Machine Learning Bechoo Lal
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Fundamentals of Robust Machine Learning
Bechoo Lal
Reliable machine learning requires systems that excel despite noisy, uncertain, and evolving data. By combining adversarial defenses, data augmentation, uncertainty quantification, fairness, and robust optimization techniques, theoretical insights merge with practical examples to create algorithms capable of dependable, real-world performance.
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 1. marca 2026 |
| ISBN13 | 9781779568878 |
| Založniki | Arcler Press |
| Strani | 484 |
| Dimenzije | 150 × 220 × 10 mm · 726 g (Teža (ocenjena)) |
