This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.
This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.
This book introduces different approaches to developing recommender systems that automate choice-making strategies to provide affordable, personal, and high-quality recommendations.