Machine Learning, Gradient Descent, Stochastic Gradient, Data Science, Learning Curve.
sample at each iteration, making it more efficient and faster, especially for large datasets. Why SGD is Better? Efficiency: SGD is computationally less intensive, using only one sample to perform updates. Noise: The noise in the updates can help escape local minima and saddle points, potentially