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Online machine learning

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TL;DR. A machine learning method that updates a model incrementally as new data arrives sequentially.

Technical Definition

A machine learning method that updates a model incrementally as new data arrives sequentially.

How it works

Online machine learning updates a model sequentially as data becomes available, optimizing predictions at each step. This approach is crucial when dealing with massive datasets that are computationally infeasible to process all at once or when real-time adaptation is needed.

Related Concepts

  • Incremental learning — A machine learning approach where a model continuously learns from new data without forgetting previous knowledge.
  • Offline learning — Training a model on a fixed dataset without further updates during the learning process.

Further Reading

  • Wikipedia — Glossary of AI