The chapter explores the shift from symbolic to connectionist AI methods, emphasizing on learning from data rather than hard-coding. It covers historical advancements in AI models like SVMs, random forests, gradient boosted trees, and the influence of deep learning models like deep conv nets and Transformer architecture.