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Nave Bayes Classifiers

Naive Bayes classifiers are a family of classification algorithms based on Bayes’ Theorem. They are not a single algorithm but rather a collection of algorithms that share a common principle: they use the probabilities of features to predict the class of a given instance. The classifiers are particularly known for their simplicity and efficiency, making them suitable for large datasets and real-world applications such as document classification and spam filtering ²⁵.

One of the key advantages of Naive Bayes classifiers is their speed in training and prediction. They require a small amount of training data to estimate the necessary parameters, which allows them to perform well even with limited data. However, a significant assumption made by these classifiers is the independence of features, which may not hold true in many real-world scenarios. Despite this limitation, they can still provide valuable insights during preliminary data analysis ³⁵.

If you’re interested in exploring more about Naive Bayes classifiers, consider looking into specific types like Gaussian Naive Bayes or their applications in various domains.

The Naive Bayes Classifier

Towards Data Science

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 Classifiers

Towards AI

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

Analytics Vidhya

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…

Gaussian Naive Bayes Explained and Hands-On with Scikit-Learn

Towards AI

Gaussian Naive Bayes (GNB) is a classification technique used in Machine Learning (ML) based on the probabilistic approach and Gaussian distribution. Gaussian Naive Bayes assumes that each parameter…

The Naive Bayes classifier: How it works

Towards Data Science

Classification algorithms try to predict the class or the label of the categorical target variable. A categorical variable typically represents qualitative data that has discrete values, such as…

Naive Bayes Classification

Towards Data Science

Naive Bayes classifiers is a family of probabilistic classifiers that are based on applying Bayes’ theorem with naive assumption on independence between the features. These classifiers are extremely…

Naive Bayes

Dive intro Deep Learning Book

Throughout the previous sections, we learned about the theory of probability and random variables. To put this theory to work, let’s introduce the naive Bayes classifier. This uses nothing but probabi...

Algorithms From Scratch: Naive Bayes Classifier

Towards Data Science

The Naive Bayes classifier is an Eager Learning algorithm that belongs to a family of simple probabilistic classifiers based on Bayes’ Theorem. Although Bayes Theorem — put simply, is a principled…

Machine Learning Algorithms: Naïve Bayes Classifier and KNN Classifier

Analytics Vidhya

In this second article of the Machine Learning algorithms series, I will be focusing on the Naïve Bayes Classifier and KNN classifier. They both are one of the simplest type of algorithms used and…

Naive Bayes Classifier: A Geometric Analysis of the Naivete. Part 1

Towards Data Science

The curse of dimensionality is the bane of all classification problems. What is the curse of dimensionality? As the the number of features (dimensions) increase linearly, the amount of training data…

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: A simple but handy discrete classifier

Towards Data Science

A few months ago, I published an article introducing Bayes’ theorem. Today I will introduce a practical application from Bayes’ theorem on classification, Naive Bayes Classifier. (Here is the link…