• Data's what we expect. It's our way of representing fundamentally the kinds of information we want to move around.

    数据是我们一直需要的,它是用来表达我们想要操作的,数据类型的基本方式,这里。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • I was able to do letter writing, I was able to do data collection, and do a product there.

    我以前上书信写作的课,要上数据搜集的课,还要上美工课。

    麻省理工公开课 - 媒体、教育、市场课程节选

  • So, more data to come, so this is a clip some of you might have seen in section already.

    随着更多数据的出现,就会形成一个标签,有些人可能已在相应章节中看到过了。

    哈佛公开课 - 计算机科学课程节选

  • Now when the only types we're dealing with are the built-in types, the ones that came with the programming language, that doesn't really matter.

    现在我们对付的数据类型,只有内置的数据类型,也就是编程语言固有的类型。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • I should just say that the data i just gave you is real data but it's actually mixed ability data.

    我强调一点我给你们的数据是真实数据,但是它是综合了各种能力后的数据

    耶鲁公开课 - 博弈论课程节选

  • That means--his calculations are very different than the ones I have because he has a much longer sample period.

    那表明。。。他的计算结果与我的大相径庭,因为它数据的取样跨度比我的长多了。

    耶鲁公开课 - 金融市场课程节选

  • they won't say, "Oh, because of this experiment, that experiment, " this data set and that data set."

    他们不会说,“因为理论得到了这个实验,那个实验,这套数据,那套数据的支持“

    耶鲁公开课 - 心理学导论课程节选

  • What you have to do is have the courage to say I have got to account for the bad data, what I think are bad data and the data that helped me build my theory.

    你们要做的就是,鼓起勇气来说,我已经解释出了那些劣质的数据,和我认为是劣质的数据,还有那些帮助我建立理论的数据

    麻省理工公开课 - 固态化学导论课程节选

  • % while its economy has been growing at 9% 8%,9% a year? -Yes... The data you are quoting is on Child Main Nutrition.

    而期间其经济却以%,8%或9%的速度增长?,-嗯。,你所引用的数据,是关于,儿童营养的。

    普林斯顿公开课 - 国际座谈会课程节选

  • And you can join on to the Red Sox nation on top of that, and part of being a good Red Sox fan is knowing the statistics of your team.

    除此之外你们可以,加入红袜队的国度,作为一个好的红袜队球迷,也是了解你们支持球队的,数据的一部分。

    麻省理工公开课 - 化学原理课程节选

  • But in China the numbers look like this, and in India they look this.

    而如今,中国的数据是这样的,印度的数据就是这样的

    耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选

  • Alright, so it turns out there're two other useful types that you don't get for free out of the box.

    我们还是回到这里,还有两种很有用的数据类型,这两种都不用担心内存不足。

    哈佛公开课 - 计算机科学课程节选

  • Well let me put up some real numbers and we'll see about how much the correspondence to what we've got here.

    现在我们用真实的数据,来和我们的结论比对一下

    耶鲁公开课 - 博弈论课程节选

  • Number one, the basic structure is that you have a pointer and it points over to a pointee, but the pointer and pointee are separate and the common error is to set up a pointer but to forget to give it a pointee.

    第一,基本结构是,你有一个,指向数据的指针,但是那个指针和数据,是分开的,通常错误是声明了一个指针,但是没有指向一个数据

    哈佛公开课 - 计算机科学课程节选

  • And the second thing we're going to need, is we're going to need a way to give instructions to the computer to manipulate that data.

    我们需要的第二件事情是,我们需要一种,能给予计算机指令,以操作数据的方式。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • So, that's Rutherford's explanation of this set of data.

    这就是卢瑟福怎么解释这些数据的

    麻省理工公开课 - 固态化学导论课程节选

  • This is--I'm showing here U.S. data, but Siegel also argues in the latest edition that the equity premium is also high for advanced countries over the whole world.

    这就是。。。我在这展示的是美国的数据,但是西格尔在他最新出版的书中讨论道,在世界范围内许多发达国家的,股票溢价同样很高。

    耶鲁公开课 - 金融市场课程节选

  • The figure you are quoting in New York times which came out of a report published by a French economist who lives in India John Kenneth. And the article was by Sangota, the New York Times editor.

    你从纽约时报,某篇报道上摘下来的数据,出自一名住在印度的法国经济学家,之手,他叫约翰·克南斯,该文章由纽约时报的圣郭特所编辑。

    普林斯顿公开课 - 国际座谈会课程节选

  • I wanted to show an example with real data that I computed and that's what's up on the screen.

    我用真实的数据做了一个案例,请看上方的屏幕。

    耶鲁公开课 - 金融市场课程节选

  • Number three, pointer assignment, takes one pointer and changes it to point to the same pointee as another pointer so after the assignment the two pointers will point to the same pointee.

    第三条,指针赋值,使一个指针,指向另外一个指针所指向的数据,赋值过后,两个指针会指向,同样的数据

    哈佛公开课 - 计算机科学课程节选

  • In fact to write a run those same experience-- those same experiments now with the even greater volume of data computers are now producing I'd probably have terabytes worth of data and at that point things just would have broken.

    事实上-,目前使用大量数据的相同实验中,计算机会产生,兆兆字节的数据,那时,一切都有可能遭到破坏。

    哈佛公开课 - 计算机科学课程节选

  • We transition to actually real world applications later on like a compression-- how do you take a huge amount of data ; and actually whittle it down into something more manageable; something that uses less of your disk space.

    然后我们会讲生活中的应用程序,比方说压缩文件——,把大量的数据分解使其更易管理;,并占用尽量少的磁盘空间。

    哈佛公开课 - 计算机科学课程节选

  • .. The equity premium is the-- 2.8% this short-term 2.8% is the riskless return, historically, for a period of almost 200 years.

    股权溢价就是-,这个短期无风险投资收益率是,是根据近200年的数据得出的。

    耶鲁公开课 - 金融市场课程节选

  • Cause when you can actually manipulate a computer's memory at this low level, you can steal people's passwords, you can steal their data if you know how that memory is laid out.

    因为即使是在这么低的权限下,你也能熟练控制电脑的存储器,你就可以窃取别人的秘密,如果知道相应数据位于哪里的话,你也能窃取别人的数据

    哈佛公开课 - 计算机科学课程节选

  • This is useful especially when we get to details like forensics and looking at data on a hard drive, - 'cause if you don't know how much store-- how many bits are composing your file, you're never gonna recover that data or be able to access what you're looking for.

    这是很有用的,尤其是在法庭上,查看硬盘驱动器里的数据时,如果你连-,文件有多少比特都不知道,你如何去恢复数据,获取你想要的信息呢。

    哈佛公开课 - 计算机科学课程节选

  • I did it myself using my data, but it would always look more or less like this-- slightly different positions if people use different estimates.

    这幅图是我根据自己的数据画出来的,有效边界的图形大致就是如此-,随着人们采用不同的估计值,其位置会发生微小的变化。

    耶鲁公开课 - 金融市场课程节选

  • So you have these at your disposal.

    所以说你在处理数据的时候可以用这些常数。

    麻省理工公开课 - 固态化学导论课程节选

  • Here is the price-earnings ratio for the U.S. stock market from 1881 to the present-- this is also on that spreadsheet that you have on the website.

    这是美国股票市场的市盈率,从1881年至今,这份数据也在网站上的电子数据表上

    耶鲁公开课 - 金融市场课程节选

  • So with an integer, an int data type, you can store any number between 0 and 4 billion roughly.

    只要有一个整数,一个int型的数据,就能储存任意一个,位于0到40亿之间的一个数。

    哈佛公开课 - 计算机科学课程节选

  • So the rough numbers for this are as follows and actually later on in the class I'll give you some more accurate numbers, but these will do for now.

    大概的数据如下,一会我会提供更精确的数据,我一会儿会给大家更精确地数据,目前为止这些数据就够用

    耶鲁公开课 - 博弈论课程节选

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