Online Learning
Definition
Online learning updates a model step-by-step with new data.
A learning setting in which a model processes data incrementally and continuously updates its parameters.
Simply explained
New observations are added, and the model continuously adjusts its learned settings.
Why it matters in practice
Helps realistically assess model quality, limits, and technical decisions.
Example from business
A demand forecast is regularly updated with newly arriving observations.
Limits and pitfalls
- Confusing online with internet access or ignoring drift, order, and catastrophic forgetting.
Origin & history
Online learning is established in statistics and machine learning for data streams and adaptive decisions.
Use in mid-sized companies
- Possible application: A demand forecast is regularly updated with newly arriving observations.
Frequently asked questions
What does online learning mean?
A learning setting in which a model processes data incrementally and continuously updates its parameters.
Which mistakes should be avoided?
Confusing online with internet access or ignoring drift, order, and catastrophic forgetting.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: