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Offline learning

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Training a model on a fixed dataset without further updates during the learning process.

Technical Definition

Training a model on a fixed dataset without further updates during the learning process.

How it works

Offline learning involves training a machine learning model using a complete, static dataset. The model learns from this entire dataset at once and is not updated as new data becomes available during the training phase. This contrasts with online learning methods.

Related Concepts

  • Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
  • Training Data — The portion of a dataset used to fit a model's parameters.

Further Reading

  • Wikipedia — Glossary of AI