Concepts and definitions

This section describes key concepts and defines terminology specific to this solution: 

application

A logical group of AWS resources that you want to operate as a unit.

batch prediction

An operation that processes multiple input data observations at one time (asynchronously). Unlike real-time predictions, batch predictions aren't available until all predictions have been processed.

ML model

In machine learning (ML), a mathematical model that generates predictions by finding patterns in data. Amazon Machine Learning supports three types of ML models: binary classification, multiclass classification, and regression. Also known as a predictive model.

real-time prediction

Synchronously generated predictions for individual data observations.

For a general reference of AWS terms, see the AWS Glossary.