“Naive Bayes is a family of probabilistic algorithms that take advantage of probability theory and Bayes’ Theorem to predict the category of a sample (like a piece of news or a customer review). They are probabilistic, which means that they calculate the probability of each category for a given sampl…”— Bruno Stecanella, monkeylearn.com
“Learning a Naïve Bayes classifier is just a matter of counting how many times each attribute co-occurs with each class”— Pedro Domingos, amazon.com