1 min read

What is Naive Bayes?

Naive Bayes model is easy to build and particularly useful for very large data sets. Along with simplicity, Naive Bayes is known to outperform even highly sophisticated classification methods.
What is Naive Bayes?

Naive Bayes is a collection of classification algorithms which are based on the so-called Bayes Theorem.

Widely used in Machine Learning, Naive Bayes has some crucial applications such as spam detection and document classification.

There are different Naive Bayes variations. The most popular of them are the Multinomial Naive Bayes, Bernoulli Naive Bayes, and Binarized Multinomial Naive Bayes.

Learn more...

Learn Naive Bayes Algorithm | Naive Bayes Classifier Examples
Naive Bayes Algorithm is a machine learning classification algorithm. Learn to implement a Naive Bayes classifier in Python and R with examples.

#NaiveBayes #Algorithm #AI #ML #Probyto #ProbytoAI

Subscribe and follow us for latest news in AI and Tech and stay updated!

Facebook: https://facebook.com/probyto
Twitter: https://twitter.com/probyto
LinkedIn: https://linkedin.com/company/probyto
Instagram: https://instagram.com/probyto