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 purpose of computation is insight, not numbers.

想要了解一个人，就听听他是如何评价他人的，这远比听信别人对他的评价来得彻底。

I don't fear failure. I fear not trying.