Ah, make the most of what we yet may spend, Before we too into the Dust descend; Dust into Dust, and under Dust to lie, Sans Wine, sans Song, sans Singer, and—sans End!
In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.