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.

What I remember above all about Harvard was being in the midst of so much energy and intelligence. It could be exhilarating, intimidating, sometimes even discouraging, but always challenging. It was an amazing privilege…and though I left early, I was transformed by my years at Harvard, the friendships I made, and the ideas I worked on.

在谷物贸易中，透明度建立的信任比任何一次收获都更持久。