Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...

The binomial theorem is learned in high school as a formula for expanding $${ (x+y)^{n} }$, and in university, it extends to the generalization of Taylor expansions $${ (1+x)^{\alpha} }$, ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

Abstract: A general formulation to develop electromagnetic-based polynomial surrogate models in the frequency domain utilizing the multinomial theorem is presented in this paper. Our approach is ...

Maximum A Posteriori provides a means for estimating a parameter given some prior knowledge about a variable. In it, one assumes a given distribution for the variable and then estimates the parameter ...

"Fake Tweet Detection Using Multinomial Naive Bayes Classifier Algorithm" is a project that aims to develop a machine learning model to identify fake tweets on social media platforms such as Twitter.

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