https://machinelearningmastery.com/parametric-and-nonparametric-machine-learning-algorithms/

Parametric machine learning model

it is the one where you have to make the choice of which function do you believe represent the data the best

مودل بختار فيه مثلا ان شكل الداتا هيكون linear، بالتالي هيبقا عندي عدد محدد من ال parameters بغض النظر عن كمية ال data

A learning model that summarizes data with a set of parameters of fixed size (independent of the number of training examples)

Steps

it involves two steps:

1. Select a form for the function
2. Learn the coefficients for the function from the training data.

General facts

• Because the assumed function is often linear, parametric machine learning is called linear machine learning algorithms.

Examples:

• Linear / Logistic Regression
• Linear Discriminant Analysis
• Perceptron
• Naive Bayes
• Simple Neural Networks

Merits VS Demerits

Merits: