Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

First articulated in the 18th century by a hobbyist-mathematician seeking to reason backward from effects to cause, Bayes’ theorem spent the better part of two centuries struggling for recognition and ...

It’s been more than 250 years since the appearance of Bayes theorem (named after English statistician, philosopher and Presbyterian minister Thomas Bayes: 1701-1761), one of the two fundamental ...

Bayes' theorem, also called Bayes' rule or Bayesian theorem, is a mathematical formula used to determine the conditional probability of events. The theorem uses the power of statistics and probability ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...