difference between Gradient Descent and OLS,
Please I 'd like to ask when should I use gradient descent and when should I use OLS method and what is the difference between them ?
OLS is preferred when a closed-form solution exists, and the dataset is not too large.
Closed-form solution - meaning that you can directly calculate the coefficients that minimize the sum of squared errors.
Gradient Descent is preferred when dealing with large datasets or high-dimensional data where the closed-form solution is computationally expensive.