Evolving Paradigms: From Deterministic Programming to Machine Learning

This chapter explores the shift in programming paradigms from deterministic to probabilistic methods, particularly focusing on machine learning advancements. It examines the scalability challenges of traditional programming and the growing importance of algorithms that utilize feedback mechanisms.