Architecting Intelligent Systems
Architecting intelligent systems necessitates a deep understanding of both the conceptual foundations of AI and the real-world challenges posed. This involves carefully choosing appropriate algorithms, architectures, and datasets to build systems that can learn from input and execute complex tasks. A key factor of this approach is guaranteeing the