• As an editor, I'm constantly taking all these inputs and deciding on that one or that intersection of a few that makes sense for what we're doing.

    作为一个编辑,我不断地吸收这些输入程序,决定哪一点或是哪一部分,是值得去做的。

    斯坦福公开课 - Twitter之父Jack.Dorsey演讲:好奇和灵感的力量课程节选

  • Something that takes two inputs, a left operant - and a right operant and it just returns a Boolean value is-- or rather it returns a left to right value.

    它有两个输入,一个是左边的作用物,一个是右边的作用物,然后返回一个布尔值-,或者更确切地说,返回一个从左到右的值。

    哈佛公开课 - 计算机科学课程节选

  • Testing and reasoning. Testing, we run our program on some set of inputs.

    测试就是,我们输入一些信息,并且运行我们的程序,然后查看答案。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • You can see the different points-- I've calculated this using data from 1983 until 2006-- and I computed all of the inputs to those equations that we just saw.

    你可以观察不同的点-,我用从1983年到2006年的数据-,代入我们刚教授的等式,进行了计算。

    耶鲁公开课 - 金融市场课程节选

  • How likely are all the inputs, are they all equally likely, or are they going to depend on other things? And that may depend on the user, so you can't kind of get at that.

    他们大致相同么?,他们依赖于其他事情么?,输入也跟用户有关,因此你没法完全得出结果来。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • One of the inputs to the problems we're gonna be working on this semester and if you continue on in this world how much thought it takes to implement something, how much time it takes to run something, how much space it takes to run something?

    我们将在本学期集中探讨这些问题,或者在课程之后你们也可以继续研究,为实现一些功能要有多少想法,在运行过程中又将花费多长时间,需要多大的空间?

    哈佛公开课 - 计算机科学课程节选

  • And what happens the moment I call swap, as I said earlier, you get a copy of the inputs.

    当我调用swap时会发生什么,之前说过的,你得到一个输入。

    哈佛公开课 - 计算机科学课程节选

  • The way you would go about it, if you're a portfolio manager, is you have to come up with estimates of the inputs to these formulas-- that means the expected returns, the standard deviations, and the covariances.

    你所要做的,如果你是一个资产经理,你要做的事情就是,对公式里面的一些参数进行估计-,那些参数包括预期收益,标准差,和协方差。

    耶鲁公开课 - 金融市场课程节选

  • Because maybe the program worked on some inputs and not on others.

    一次如果理解了程序为什么,能对a正常运行而对b却不能你就会。

    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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