Statistical Methods, AI, Performance Metrics, Data Analysis, Graph.
can think of gradient descent as a prominent example (an optimisation algorithm often used in logistic regression, SVMs, perceptrons, neural networks etc.); with features being on different scales, certain weights may update faster than others since the feature values xj play a role in the weight