例如，在处理1.3万幅图像的数据库时，算法的准确率为95%，而在处理100万幅图像时，算法的准确率约为70%。

Algorithms that were right 95% of the time when they were dealing with a 13,000-image database, for example, were accurate about 70% of the time when confronted with 1 million images.

youdao

这个算法的复杂度又是多少呢？

What's the complexity of this algorithm?

youdao

这样就简化了许多并发算法的开发。

This simplifies the development of many concurrent algorithms.

youdao

What do you think? Even with these glasses on, I can see no hands up, any suggestions? Somebody help me out.

戴着眼镜我也能看出来没人举手，有想法么？大家来帮帮我吧，你们对这个算法的增长率是怎么认为的？

麻省理工公开课 - 计算机科学及编程导论课程节选

So I'm going to solve this by enumerate and check, which is an example of what's called a brute-force algorithm.

你懂的,所以我得靠列举和检验来解决这个问题,这就是我们说的穷举算法。

麻省理工公开课 - 计算机科学及编程导论课程节选

It's 33, 32, it's only 32 times and you can check that math at home but here lies the power of algorithmic thinking, of computational thinking as they say.

你需要33，32，对，32次,你也可以在家里自己计算，但数学算法的力量是无穷的，这就是科学家们所谓的计算机思维。

哈佛公开课 - 计算机科学课程节选