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.
The motor of our ingenuity is the question ‘Does it have to be like this?’, from which arise political reforms, scientific developments, improved relationships, better books.
