What is the purpose of the gradient descent algorithm in machine learning?

Gradient descent is an optimization algorithm used to minimize the loss function by iteratively adjusting model parameters in the direction of the steepest descent (negative gradient). It is used to find the optimal parameters for models like linear regression and neural networks.