Eizen Generative AI
  • 🤖Eizen Generative AI
  • Why Eizen Generative AI?
  • ✨Get Started
  • Guide
    • ⬆️Upload a dataset
    • 🪄Generate models
    • 🚀Deploy the model
  • Use cases
    • Banking & Finance
    • Safety & Security
    • Marketing & Sales
    • Healthcare
    • Retail
    • Manufacturing
  • Glossary
    • Machine Learning
    • Model Categories
    • Model Types
    • Evaluation Metrics
Powered by GitBook
On this page
  1. Glossary

Machine Learning

Subset of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Machine learning model

A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. A machine learning model can perform such tasks by having it ‘trained’ with a large dataset. During training, the machine learning algorithm is optimized to find certain patterns or outputs from the dataset, depending on the task. The output of this process - often a computer program with specific rules and data structures - is called a machine learning model.

There are a several types of machine learning models based on the type of data and their applications.

PreviousManufacturingNextModel Categories

Last updated 2 years ago