Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
range(len(X)): y_pred = w * X[i] gradient = -2 * X[i] * (y[i] - y_pred) w = w - alpha * gradient print("Optimal parameter is: w =", w) Why does SGD Work? A Look at Variance… While it might seem counterintuitive to use only one sample for updates, SGD works because, on average, the updates are in