Gradient Descent: Linear Regression

This lecture covers the concept of gradient descent for linear regression, explaining the iterative process of updating parameters to minimize the loss function. It also discusses the challenges of choosing a suitable learning rate and the impact of scaling the loss function on the gradient descent process.