Bayes' Theorem is one of the most central ideas in all of probability and statistics, and is one of the primary perspectives in modern machine learning too. This video gently introduces the simple concept of Bayes' theorem, including defining the posterior, prior, and update.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
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00:00 Intro
02:48 Introducing Bayes' Theorem
04:54 Defining Posterior, Prior, and Update
08:07 Bayes' Theorem without P(A)
09:26 Generalizing Bayes' Theorem
11:06 Example: Cancer Screening
17:10 Outro