Machine Learning Models

Explore some of the most popular machine learning models used in the field:

Decision Trees

A Decision Tree is a flowchart-like structure where each internal node represents a “test” on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label. The paths from root to leaf represent classification rules.

For more details, visit the Decision Trees glossary entry.

Naive Bayes

Naive Bayes is a classification technique based on Bayes’ Theorem with an assumption of independence between predictors.

For more information, visit the Naive Bayes glossary entry.

Variational Autoencoder (VAE)

A Variational Autoencoder (VAE) is a type of generative model that encodes input data into a latent space and can sample from it to generate new, similar data points.

For more details, visit the Variational Autoencoder glossary entry.

This page is part of the Machine Learning Glossary. Use the sidebar to explore more models and concepts.