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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.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2026年3月1日 |
| ISBN13 | 9781779568878 |
| 出版社 | Arcler Press |
| ページ数 | 484 |
| 寸法 | 150 × 220 × 10 mm · 726 g (重量（概算）) |
