Gradient Descent, Linear Regression, Machine Learning.
Let’s get started. Linear Regression Linear Regression In order to fit the regression line, we tune two parameters: slope (m) and intercept (b). Once optimal parameters are found, we usually evaluate results with a mean squared error (MSE). We remember that smaller MSE — better. In other words, we