What did you learn about how easy or hard it is to keep track of what food intake is?

你从记录食物摄入过程中,学到了什么,记录饮食是难是易

耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选

I want to show you how easy it is to change the code. But, notice, once I've added this I actually have a problem. This is now an under-constrained problem. I have more unknowns than I have equations.

我加上这个条件后,我马上面临一个问题了,这就是现在是一个非约束性问题了,我的未知数比方程数多,你从代数中可以知道。

麻省理工公开课 - 计算机科学及编程导论课程节选

And we know how easy it is to miss part of reality, even they are right in front of our very eyes.

我们知道无视一部分现实是多么容易，就算他们就在我们眼前。

哈佛公开课 - 幸福课课程节选

And I do that very precisely because it'll teach you a little bit about how easy or difficult it is to do it and what kind of information you retrieve from a dietary assessment.

我这样要求是因为,这能教给你,做评估的难易程度,以及你们能从饮食评估中得到何种信息

耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选

But nobody needs to teach you how to use the search. It's so easy.

但使用搜索不需要,很简单。

斯坦福公开课 - 百度CEO李彦宏演讲：全球最大搜索引擎的发展课程节选

So, this all seems a very technical phenomena related to animals and the like but it's easy to see how it generalizes and how it extends.

经典条件作用似乎是关于动物的,科学现象,但其实典条件作用发生,及其相关概念都简单易懂。

耶鲁公开课 - 心理学导论课程节选

So how many of you think you're going to defend the easy pass?

那么多少人选择防守平坦的之途

耶鲁公开课 - 博弈论课程节选

So things that are good candidates for divide And conquer are problems where it's easy to figure out how to divide down, and the combination is of little complexity.

因为适合用分治算法解决的问题,最好是能够简单的将问题进行分解,并且合并的过程不是非常的复杂,只要比线性方案要小。

麻省理工公开课 - 计算机科学及编程导论课程节选

It's easy to see how you might think, how you might worry about the badness of death, if you thought you would survive your death.

如果你认为经历过死亡依然能存活，你会怎么想象和担心死亡的坏处，就很容易看出来了。

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How many of you think you should defend the easy pass?

有多少人选择防守平坦之途的

耶鲁公开课 - 博弈论课程节选

That's an important observation, and as we get to the part of the course we talk about computational complexity, you'll see that what we really care about is not how efficient the program is on easy problems but how efficient it is on hard problems.

我们已经学习了这门课程的一部分了，我们要开始认识到,计算的复杂度这个概念，你会学习到我们在乎的并不是,算法在简单问题上的工作效率,而是解决复杂问题的效率。

麻省理工公开课 - 计算机科学及编程导论课程节选