Bayes-tétel

Bayes-tétel https://hu.wikipedia.org/wiki/Bayes-t%C3%A9tel

Teljes valószínűség és Bayes-tétel https://www.mateking.hu/valoszinusegszamitas/teljes-valoszinuseg-tetele-bayes-tetel/a-teljes-valoszinuseg-tetele-es-a-bayes#28

Main Types of Naive Bayes Classifier
There are three main types of Naive Bayes classifiers. The key difference between these types lies in the assumption they make about the distribution of features:

  • Bernoulli Naive Bayes: Suited for binary/boolean features. It assumes each feature is a binary-valued (0/1) variable.
  • Multinomial Naive Bayes: Typically used for discrete counts. It’s often used in text classification, where features might be word counts.
  • Gaussian Naive Bayes: Assumes that continuous features follow a normal distribution.

https://towardsdatascience.com/bernoulli-naive-bayes-explained-a-visual-guide-with-code-examples-for-beginners-aec39771ddd6

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