Nave Bayes Classifiers - Learn Data Science with Travis

Travis chat

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

With Python and Google Colab Continue reading on Towards AI

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

In-depth explanation of the Naive Bayes family of classifiers, including a text classification example in Python Continue reading on Towards Data Science

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…

In Depth: Naive Bayes Classification

Python Data Science Handbook

The previous four sections have given a general overview of the concepts of machine learning. In this section and the ones that follow, we will be taking a closer look at several specific algorithms f...

Naive Bayes

Codecademy

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...

Bayes’ Theorem, the Core of Machine Learning

Towards Data Science

Many machine learning models attempt to estimate posterior probabilities one way or another. The training of supervised machine learning models can be thought of as updating the estimated posterior…

The Naive Bayes Algorithm: Another Key Tool in Supervised Learning

Python in Plain English

Introduction Supervised learning stands as a foundational pillar in the domain of machine learning, paving the way for precise predictions. As we embark on this voyage of discovery, we turn our atten...

Do You Really Know Naive Bayes?

Analytics Vidhya

Our next machine learning algorithm is Naive Bayes Classifier. Like my other articles about machine learning algorithms, I will learn with you. Might look complicated but in fact, it is easy to…

A Gentle Introduction to the Bayes Optimal Classifier

Machine Learning Mastery

Last Updated on August 19, 2020 The Bayes Optimal Classifier is a probabilistic model that makes the most probable prediction for a new example. It is described using the Bayes Theorem that provides a...

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…

Introduction to Naive Bayes for Machine Learning

Analytics Vidhya

Naive Bayes is a family of probabilistic algorithms that take advantage of probability theory and Bayes’ Theorem. They are probabilistic, which means that they calculate the probability of each tag…

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......

MLE, the Foundation of Naive Bayes Classifiers

Analytics Vidhya

A simple explanation of the Maximum Likelihood Estimator(MLE) and the argmax function

The Naivety of Naive Bayes

Analytics Vidhya

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…

Introduction to Naive Bayes Classifiers

Better Programming

When you start learning about artificial intelligence, one of the first things that you encounter is Naive Bayes. Why are Naive Bayes classifiers so fundamental to AI and ML? Let’s find out…