Everything you need to know about the Naive Bayes algorithm

Naive Bayes is a probabilistic machine learning algorithm that is based on the Bayes Theorem and is used for a wide range of classification challenges. In this blog, we will learn about the Naive Bayes algorithm and all of its core concepts so that there are no gaps in the information. As we all know, machine learning is the technology that predicts goal B using characteristics A, i.e., computing the conditional probability P(B A). Then, for the discriminative model, we only take into account assessing the conditional probability. This establishes the classifier under the condition of a limited sample, without evaluating the sample's generative model, instead of learning the prediction model, like in the binary classification problem.