Architecting Intelligent Systems
Architecting intelligent systems requires a deep grasp of both the theoretical foundations of AI and the real-world challenges involved. This entails carefully choosing appropriate algorithms, frameworks, and datasets to build systems that can adapt from data and accomplish complex tasks. A key element of this approach is guaranteeing the stabilit