Machine Learning, Gradient Descent, Stochastic Gradient, Batch Gradient Descent, Regression.
optimized model parameter set. A potential convex cost function MSE Loss The surface for MSE loss will look something like this. If the Cost function is C(W, X), a function of W(Weights) and X(Data Matrix) in 2D, C(W, X) = Mean((w0 + w1*xi — y)²), where y is the true value of the data point (x1,