A computational instrument figuring out the optimum parameters that reduce the sum of the squares of the errors between noticed and predicted values. For example, given a set of information factors, the machine finds the equation of a line that most closely fits the info by minimizing the squared vertical distances between the factors and the road.
Such a tool is significant in numerous fields, together with statistics, engineering, and knowledge science. Its utility stems from its skill to offer essentially the most statistically sound estimate when coping with noisy or imperfect knowledge. Traditionally, strategies to search out such an answer have developed from guide calculations to stylish algorithms carried out in software program, reflecting the growing demand for correct modeling and prediction.