An optimisation algorithm, within the context of machine learning, refers to a systematic mathematical process or procedure used for adjusting the internal parameters of a machine learning model to improve its performance on a specific task. The primary goal of an optimisation algorithm is to find the optimal values of these parameters—commonly known as weights