These algorithms automatically adjust (learn) their internal parameters based on data. However, there is a subset of parameters that is not learned and that have to be configured by an expert.

What are machine learning algorithms ... at the new parameter values. Eventually, with luck, the process converges. The variants on steepest descent try to improve the convergence properties.

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

ReLU is usually the best choice for fast convergence ... Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp ...