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Fundamentals of Robust Machine Learning Bechoo Lal
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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 1 de marzo de 2026 |
| ISBN13 | 9781779568878 |
| Editores | Arcler Press |
| Páginas | 484 |
| Dimensiones | 150 × 220 × 10 mm · 726 g (Peso (estimado)) |
