• And if we go on to step three where we figure out how many we would need for full octets, it's just going to be 2 times 8, so we have 16.

    而如果我们继续到第三步,判断一下填满所有“八隅体“需要多少个价电子,结果应该就是二乘以八,也就是十六个。

    麻省理工公开课 - 化学原理课程节选

  • So this isn't-- OK. And you're also close. It's going to be linear but how many times do I go through this?

    每次能丢掉一半,所以这里不是-,好的,但你也很接近了,他可能是线性的,但我得遍历多少次呢?

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • The end is hard and it's going to be hard, no matter how you come to it.

    结束很难,并且一定会很难,无论你打算怎样结束。

    耶鲁公开课 - 现代诗歌课程节选

  • How many of you, if you were playing for, I guess it's going to be America, which is a sad thing to start with,never mind.

    有多少人会,假设你为一个球队效力,比如说是美国国家队吧,可能有些难以启齿,没关系

    耶鲁公开课 - 博弈论课程节选

  • We don't have to worry about how you solve it, but it's problem in mathematics and the answer will be--surprise, it's going to be oscillating back and forth and that'll come out of the wash.

    我们没必要去担心这个方程该怎么解,但这个数学问题的答案将会是令人惊讶的,弹簧会来回振荡,问题就迎刃而解了

    耶鲁公开课 - 基础物理课程节选

  • Now as I say, I made this calculation some years ago It doesn't really matter how inaccurate it's going to be As we'll see it's very rough but it makes the point ? How many people are there?

    现在就像我说的,我很多年前做了这个计算,到底它有多不精确其实无所谓,我们会看到,这个计算很粗糙,但却给出了一个说明,有多少人?

    耶鲁公开课 - 死亡课程节选

  • Or what - and often it's not going to be just one gene, it's going to be combinations of genes, and how do you predict the fate of the individual based on all of the genes that you know to be involved in progression of a certain disease.

    有时候甚至都不仅仅是一个基因的问题,引发疾病的是一些不同基因的组合,并且怎样基于,导致某种特定疾病的所有基因,来预测一个人未来是否会患这种疾病呢

    耶鲁公开课 - 生物医学工程探索课程节选

  • Well, the mean is always .2 no matter how many policies you write, so it's going to be--we're going to have a normal distribution centered on .2.

    不论你签了多少份保单,均值永远是0.2,所以这就是一个关于x=0.2对称的,正态分布

    耶鲁公开课 - 金融市场课程节选

  • For a couple of reasons. In some ways, this would be nicer, do expected cases, it's going to tell you on average how much you expect to take, but it tends to be hard to compute, because to compute that, you have to know a distribution on input.

    关注最快的情况,在某种意义上来说,因为一些原因这样想挺不错的,当我们处理一个给定的问题,计算平均时间的时候,是很难计算的,因为你并不知道输入的分布情况,这些输入会是怎么样的呢?

    麻省理工公开课 - 计算机科学及编程导论课程节选

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