在计算学习的背景下，“可能近似正确”（PAC）学习的概念为理解学习算法的效率和可行性提供了一个框架。
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.
I don’t need luck, I make my own.
The camera captures the truth, so you have to be truthful.
I don't spend my time pontificating about high-concept things; I spend my time solving engineering and manufacturing problems.
Mathematics is not just about numbers, equations, computations, or algorithms: it is about understanding.