Bayes Theorem with Example
This video explains the working of Bayes Theorem with example. (Bayesian inference examples)
⭐️ Table of Contents ⭐
⌨️ (0:00) Introduction
⌨️ (3:32) Conditional Probabilities
⌨️ (5:00) Joint Probabilities
⌨️ (6:15) Marginal Probabilities
⌨️ (8:06) Bayes Theorem Probabilities
⌨️ (9:43) Probabilities Distribution
⌨️ (13:03) Example
⌨️ (15:20) Example with Bayes Theorem
⌨️ (22:46) Bayesian Inference
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What is Bayes' theorem?
In #probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Reverend Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
For example, if the risk of developing health problems is known to increase with age, Bayes' theorem allows the risk to an individual of a known age to be assessed more accurately (by conditioning it on their age) than simply assuming that the individual is typical of the population as a whole.
One of the many applications of Bayes' theorem is Bayesian inference, a particular approach to statistical inference.
ATTRIBUTION CREDITS:
Credit: Brandon Rohrer
Check out his YouTube channel for more great courses: / @brandonrohrer
License: Creative Commons Attribution license (reuse allowed)
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