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Adipta Martulandi
Adipta Martulandi

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A Gentle Introduction to Naive Bayes Classifier

Naive Bayes classifier is a classification algorithm in machine learning and is included in supervised learning. This algorithm is quite popular to be used in Natural Language Processing or NLP. This algorithm is based on the Bayes Theorem created by Thomas Bayes. Therefore, we must first understand the Bayes Theorem before using the Naive Bayes Classifier.

The essence of the Bayes theorem is conditional probability where conditional probability is the probability that something will happen, given that something else has already occurred. By using conditional probability, we can find out the probability of an event will occur given the knowledge of the previous event.

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