Architecting Intelligent Systems
Architecting intelligent systems necessitates a deep understanding of both the conceptual foundations of AI and the real-world challenges posed. This implies carefully selecting appropriate algorithms, structures, and datasets to develop systems that can evolve from data and accomplish complex tasks. A key aspect of this process is securing the re