Most of the time data does not obey the parametric assumptions, such as the bell-shaped Gaussian curve, that we use in statistics to make estimation easier. Instead, with the new data, we need to resort to more flexible nonparametric models whose complexity can adjust automatically to the complexity of the task underlying the data. All these requirements make machine learning more challenging than statistics as we used to know and practice it.
