Tech Notes

My notes on Statistics, Big Data, Cloud Computing, Cyber Security

Tag Archives: naive bayes classifier

Conditional Probability, Bayes Theorem, Naive Bayes Classifier

Both kNN and NaiveBayes are classification algorithms. Conceptually, kNN uses the idea of “nearness” to classify new entities. In kNN ‘nearness’ is modeled with ideas such as Euclidean Distance or Cosine Distance. By contrast, in NaiveBayes, the concept of ‘probability’ is used to classify new entities.

Before someone can understand and appreciate the nuances of Naive Bayes’, they need to know a couple of related concepts first, namely, the idea of Conditional Probability, and Bayes’ Rule. (If you are familiar with these concepts, skip to the section titled Getting to Naive Bayes’)

Conditional Probability in plain English: What is the probability that something will happen, given that something else has already happened. Read more of this post

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