faculty.cse.tamu.edu

I am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain it with a simple step by step process in English.

  stackoverflow.com

  medium.com

  www.coursera.org

  pythonmachinelearning.pro

  sebastianraschka.com

In machine learning, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

  en.wikipedia.org

This is a low math introduction and tutorial to classifying text using Naive Bayes. One of the most seminal methods to do so.

  www.youtube.com

  nlp.stanford.edu

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