Gradient Descent, Linear Regression, Machine Learning.
would like to minimize, and very frequently it will be Mean Squared Errors function. We identify parameters, such as m and b in the regression function and we take partial derivatives of MSE with respect to these parameters. This is the most crucial and hardest part. Each derived function can tell