👉 Form fitting is a method in machine learning and statistics used to estimate the parameters of a model. It involves finding the optimal values for the parameters that minimize the discrepancy between the observed data and the predicted values. The goal of form fitting is to find the best set of parameters that results in the most accurate predictions, given some assumptions about the underlying distribution of the data. This can be useful when dealing with noisy or uncertain data, as it allows us to make predictions without overfitting. For example
