Naive Bayes

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Naive Bayes is a probabilistic machine learning algorithm. It is used widely to solve the classification problem. In addition to that this algorithm works perfectly in natural language problems…

Naive Bayes

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Naive Bayes algorithms are supervised learning methods that calculate the probability of an outcome based on input data and prior knowledge, assuming all inputs are equal and independent of each other...

All about Naive Bayes

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Naive Bayes Data Science Machine learning Artificial Intelligence Deep learning neural networks algorithms data datasets

1.9. Naive Bayes

Scikit-learn User Guide

Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence between every pair of features given the val......

The Not So Naive Bayes

Towards Data Science

Have you ever wondered how your email service provider classifies a mail as spam or not spam almost immediately after you have received it? Or have you thought how the recommendations by online…

Naive Bayes Explained

Towards Data Science

Machine learning approaches for classification can be discriminative and generative in nature. Basically, the distinction between one and the other lies in the process that is followed to obtain…

Naive Bayes Classifiers

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Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm, but a family of algorithms where all of them share a common principle…

Naïve Bayes Classifiers

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Naive Bayes classifiers are a family of classifiers based in Bayes’ theorem that are quite similar to the linear models. However, they tend to be even faster in training. The price paid for this…

The Naive Bayes Classifier

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The Naïve Bayes Classifier is perhaps the simplest machine learning classifier to build, train, and predict with. This post will show how and why it works. Part 1 reveals that the much-celebrated…

Naive Bayes Classification

Towards AI

Naive Bayes Classification is a supervised machine learning algorithm. It is one of the many algorithms that are derived from the Bayes’ theorem. The algorithm can be scaled as per requirement. The…

Naive Bayes in Machine Learning

Towards Data Science

Bayes’ theorem finds many uses in the probability theory and statistics. There’s a micro chance that you have never heard about this theorem in your life. Turns out that this theorem has found its…

The Naivety of Naive Bayes

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What the developers wanted to achieve through Machine Learning was to enable computers to have minds of their own and learn to make decisions by themselves. Such an objective, as we know by the…