Foundations of Statistics and Data Science

This chapter explores the historical development of statistical theories, emphasizing the pivotal role of Fisher's work in theoretical statistics. It discusses critical concepts such as maximum likelihood estimation and the philosophical differences between frequentist and Bayesian approaches. By analyzing the progression of statistical methods, the chapter connects historical insights to modern applications in AI and machine learning.