The author reflects on teaching machine learning without relying on the concept of data-generating distributions, arguing that such distributions don’t exist in practice. Instead, the focus should be on population models and how they inform decision-making based on sample data. The article emphasizes the importance of understanding how samples relate to the populations they represent.