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The Evolution of Bayesian Probability
This chapter explores the historical journey of probability theory, particularly the contributions of early thinkers like Bayes and Laplace. It highlights the shift from classical interpretations to Bayesian methods, emphasizing their significance in modern technology and decision-making. The discussion further examines the revival and acceptance of Bayesian concepts in the 20th century and their relevance in contemporary applications like machine learning.