Parameters
Definition
Parameters are internal, numerical values learned by a machine learning model from training data.
Detailed Explanation
Parameters are numbers within a machine learning model that are learned during training and control how the model makes the predictions
In linear regression
\(y = B_0 + B_1x\)
In which case,
\(B_0\) and \(B_1\) are parameters.
Author:
Sergio Fetter
Created:
March 09, 2026
Updated:
March 09, 2026