Offline Learning

What Does Offline Learning Mean?

In the machine learning world, offline learning refers to situations where the program is not operating and taking in new information in real time. Instead, it has a static set of input data. The opposite is online learning, where the machine learning program is working in real time on data that comes in.


Techopedia Explains Offline Learning

Offline learning is sometimes described as a proactive type of learning that can work forward on the basis of evaluating the static data sets that it has at its disposal. Because there is no continual influx of information, the program and its human operators can benchmark the results of the training set and apply them to future phases of operation. Some experts call offline learning a form of eager learning, which means that the system is working proactively to make decisions, as compared to lazy learning where the machine learning program's work may be event driven.


Related Terms

Latest Emerging Technology Terms

Related Reading

Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…