Overfitting and Generalization

Brandon and Hanne discuss the concept of overfitting in statistics and how it can hinder the generalization of models. They use the example of identifying the fastest kid in a classroom to illustrate the limitations of overfitted models. They also touch on the underlying shifts in population and natural language processing that affect AI.