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.
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。
The most profound truths are often the ones we deny.
理论上,理论和实践之间没有区别。但实际上,是有区别的。
艺术是对冷漠的解药。