1654 ⟶ Blaise Pascal and Probability Theory

Blaise Pascal described how to find expected values in proba...
Timelines Logo
Year
1654
1763

🎲 Blaise Pascal and Probability Theory

Blaise Pascal described how to find expected values in probability, in 1662 Antoine Arnauld published a formula to find the maximum Expected value, and in 1663, Gerolamo Cardano's solution to the same problems is published 116 years after it was written. The theory of probability is further developed by Jacob Bernoulli and Pierre-Simon Laplace in the 18th century. Probability theory would become central to AI and machine learning from the 1990s onward.⟶
Blaise Pascal and Probability Theory (1654)
Probability TheoryMathematicsMachine LearningStatisticsDecision MakingExpected ValueBayesian Methods
FranceFrance

📊 Bayes' Theorem Laid the Groundwork for Bayesian Networks

Thomas Bayes's work An Essay Towards Solving a Problem in the Doctrine of Chances, published two years after his death, laid the foundations of Bayes' theorem and used in modern AI in Bayesian networks.⟶
Bayes' Theorem Laid the Groundwork for Bayesian Networks (1763)
ProbabilityStatisticsBayesian inferenceBayesian networksMathematicsMachine LearningAlgorithmsFoundations
United KingdomUnited Kingdom