What are some applications of Bayes Theorem?

Data Science, AI and ML
#1
  • It is one of the simplest and effective methods for calculating the conditional probability and text classification problems.
  • A Naïve-Bayes classifier algorithm is better than all other models where assumption of independent predictors holds true.
  • It is easy to implement than other models.
  • It requires small amount of training data to estimate the test data which minimize the training time period.
  • It can be used for Binary as well as Multi-class Classifications.