Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
parameters and moves toward the steepest decrease. In a machine learning context, where l is the loss and w represents the model parameters, the update rule is given by: w = w — α ∇ l(w) Here, α is the learning rate, and ∇l(w) is the gradient of the loss function l concerning the parameters. Model