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#### Naive Bayes

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…

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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...

Read more at Codecademy | Find similar documents#### All about Naive Bayes

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

Read more at Towards Data Science | Find similar documents#### 1.9. Naive Bayes

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......

Read more at Scikit-learn User Guide | Find similar documents#### The Not So Naive Bayes

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…

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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…

Read more at Towards Data Science | Find similar documents#### Naive Bayes Classifiers

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…

Read more at Towards AI | Find similar documents#### Naïve Bayes Classifiers

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…

Read more at Analytics Vidhya | Find similar documents#### The Naive Bayes Classifier

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…

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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…

Read more at Towards AI | Find similar documents#### Naive Bayes in Machine Learning

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…

Read more at Towards Data Science | Find similar documents#### The Naivety of Naive Bayes

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…

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