What is Learning Mechanism?
The set of methods that enables a system to produce better results over time by extracting patterns from data.
Overview
It is the infrastructure that allows artificial intelligence models to learn from their mistakes, internalize new information, and improve their performance. Thanks to this, the system evolves through experience instead of operating with fixed rules.
How it works
Data flow is provided, the model makes a prediction, the resulting error is measured, and the weights within are updated to reduce this error.
Where it is used
It is involved in the training processes of machine learning models and the feedback loops of intelligent assistants.
Commonly confused with
It is not the model itself, but the background set of rules and methods that enables that model to improve.
Questions and answers
Does it learn continuously?
If the system is designed for this, yes, otherwise it only operates during the training phase.
Related terms
This explanation was written in plain language for TreScout with AI and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →