507: Bayesian Statistics
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Bayesian Statistics vs. Frequentist Statistics
The chapter explores the differences between Bayesian and frequentist statistics, emphasizing the use of Bayesian inference to calculate probabilities based on data and prior beliefs. It discusses the historical context of Bayesian statistics, including the contributions of Thomas Bayes and Pierre-Simon Laplace, and addresses the resurgence of Bayesian statistics in the mid-20th century with advancements in computational power.
Play episode from 22:58
Transcript
