Fundamentals of robust machine learning
Auteur :
Lal, Bechoo
Éditeur :
Arcler Press
ISBN :
9781779568878
Date de publication :
15 janv. 2026
Dimensions :
25,4 x 20,3 cm
Format :
B131
Langue :
Anglais
Pays d'origine :
Canada
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.