Parameter

In machine learning, a parameter is an internal variable of a model that is learned from the training data. These include weights in neural networks, coefficients in regression models, and similar elements.

The Role of Parameters

Parameters are fundamental to machine learning models as they define the model's specific implementation of the learned relationships between input features and predictions. The process of training a model involves adjusting these parameters to minimize error and improve the model's performance on unseen data.