Machine Learning, Data Science, Optimization, Gradient Descent, Convexity.
functions. For a Linear Regression model, we define the cost function Mean Square Error(MSE), which measures the average squared difference between actual and predicted values. Our goal is to minimize this cost function in order to improve the accuracy of the model. MSE is a convex function (it is