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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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 1, 2026 |
| ISBN13 | 9781779568878 |
| Publishers | Arcler Press |
| Pages | 484 |
| Dimensions | 150 × 220 × 10 mm · 726 g (Weight (estimated)) |
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