An important concept in AI
Bayes' Theorem Problems, Definition and Examples
https://www.statisticshowto.com/probability-and-statistics/probability-main-index/bayes-theorem-problems/
Understand Bayes Rule, Likelihood, Prior and Posterior
https://towardsdatascience.com/understand-bayes-rule-likelihood-prior-and-posterior-34eae0f378c5
Posterior Probability: Definition + Example
https://www.statology.org/posterior-probability/
Posterior Probability – Explanation – Calculation – Example
https://daytradrr.com/financial-analysis/posterior-probability-explanation-calculation-example/
Quote
Assume we have a drug test that tests for cannabis use. Now, this test has a 90% True Positive rate, that is, 90% of the time, it will detect a cannabis user. It also has an 80% True Negative rate, that is, 80% of the time it will confirm that a person has NOT used Cannabis. Unfortunately, it also generates 20% False Positives. Given that 5% of all people tested are cannabis users, what is the probability that a person who tests positive for cannabis using this test is truly a cannabis user? I'll give you a hint to get started, the first branch of your tree should be the cannabis users.
A Simple Guide to Solving Bayes' Theorem Problems
https://towardsdatascience.com/simple-guide-to-solving-bayes-theorem-problems-a594edc3e245
2020