davidjohnbaker1 / bayes-london-ds

Bayesian Statistics

This repo contains materials used by the Data Science program at the London Flatiron School. Materials for this lecture were originally developed by David John Baker.

Materials

• Slides

• Exit ticket

Learning Objectives

By the end of the lesson, students should be able to...

• Describe the relationship between Bayesian and Frequentist schools of thought
• Explain core concepts of Bayesian data analysis
• Explain why Bayesian statistics was not adopted until the late 20th century
• Define what what is meant by conjectures
• Define what what is meant by Posterior distribution
• Define what what is meant by Likelihood
• Define what what is meant by Prior Distribution
• Define what what is meant by Updating

Lesson Plan

Extend Your Learning

• To see the guy whose materials explain this check out his video on Bayes is just counting
• Materials for this lecture are mostly derived from this fantastic textbook. If you are interested in this, please sooth yourself with more than 20 hours of free lectures on YouTube of him talking about this.
• This book by John Krutsche also is great (but a slow burn) Book