Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
leading to better solutions. The update rule for SGD is similar to that of Gradient Descent but is applied using a single sample selected randomly at each iteration: w = w — α ∇ l(w;xᵢ) where ∇ l(w;xᵢ) is the loss for the i-th sample. Stochastic Aspect of SGD: Random Sample Selection The essential