Bayes' Theorem: The Holy Grail of Data Science – Towards Data Science

Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probabilities. This theorem has enormous importance in the field of data science. For example one of many applications of Bayes' theorem is the Bayesian inference, a particular approach to statistical inference. Bayesian inference is a method in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law.