Architecting Intelligent Systems
Architecting intelligent systems necessitates a deep comprehension of both the conceptual foundations of AI and the real-world challenges presented. This implies carefully determining appropriate algorithms, architectures, and information to build systems that can learn from data and accomplish complex tasks. A key element of this methodology is g