# Tag: Naive Bayes (12)

**Probability Learning: Naive Bayes**- Nov 26, 2019.

This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.**How Bayes’ Theorem is Applied in Machine Learning**- Oct 28, 2019.

Learn how Bayes Theorem is in Machine Learning for classification and regression!**Probability Learning: Bayes’ Theorem**- Oct 16, 2019.

Learn about one of the fundamental theorems of probability with an easy everyday example.**3 Main Approaches to Machine Learning Models**- Jun 11, 2019.

Machine learning encompasses a vast set of conceptual approaches. We classify the three main algorithmic methods based on mathematical foundations to guide your exploration for developing models.**7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition**- Jun 3, 2019.

This is the second part of this new learning path series for mastering machine learning with Python. Check out these 7 steps to help master intermediate machine learning with Python!**Naive Bayes: A Baseline Model for Machine Learning Classification Performance**- May 7, 2019.

We can use Pandas to conduct Bayes Theorem and Scikitlearn to implement the Naive Bayes Algorithm. We take a step by step approach to understand Bayes and implementing the different options in Scikitlearn.**Naive Bayes from Scratch using Python only – No Fancy Frameworks**- Oct 25, 2018.

We provide a complete step by step pythonic implementation of naive bayes, and by keeping in mind the mathematical & probabilistic difficulties we usually face when trying to dive deep in to the algorithmic insights of ML algorithms, this post should be ideal for beginners.**Unfolding Naive Bayes From Scratch**- Sep 25, 2018.

Whether you are a beginner in Machine Learning or you have been trying hard to understand the Super Natural Machine Learning Algorithms and you still feel that the dots do not connect somehow, this post is definitely for you!**Top 10 Machine Learning Algorithms for Beginners**- Oct 20, 2017.

A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.

**Machine Learning Finds “Fake News” with 88% Accuracy**- Apr 12, 2017.

In this post, the author assembles a dataset of fake and real news and employs a Naive Bayes classifier in order to create a model to classify an article as fake or real based on its words and phrases.**Top 10 Data Mining Algorithms, Explained**- May 21, 2015.

Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.**Top KDnuggets tweets, Oct 14-15: Tutorial: The Naive Bayes Text Classifier; Quantum Computers and Machine Learning**- Nov 28, 2013.

Tutorial: The Naive Bayes Text Classifier; How Quantum Computers and Machine Learning Will Revolutionize #BigData; See how easy it is to find patterns in random data; Applied Data Science - free, self-guided online course