AI Algorithms, Models, and Architectures
Alan Tang · 2025
This chapter introduces the intricacies of the AI learning process, explaining how algorithms function and their inherent limitations. It explores various learning and training methods, including supervised learning, unsupervised learning, and reinforcement learning, to illustrate the different approaches to AI development. Additionally, this chapter discusses methods for evaluating AI performance and the critical role of training data in shaping intelligent systems. This chapter covers the following topics: AI Learning Process Learning/Training Methods AI Performance Evaluation Methods AI Training Data