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.commedium.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.orgThis is a low math introduction and tutorial to classifying text using Naive Bayes. One of the most seminal methods to do so.
www.youtube.comnlp.stanford.edu