• We could just collect a bunch of data. For a material .What's the volume it occupies at some pressure and temperature?

    对一种物质我们可以得到一系列测量数据,在给定的温度气压下,它的体积是什么?

    麻省理工公开课 - 热力学与动力学课程节选

  • Apple has been talking about... my manager and I were discussing online data storage.

    苹果公司一直在讨论……我们经理我也讨论过网络数据仓库。

    没有智能手机活不了 - SpeakingMax英语口语达人

  • And the only thing that's differing is the name of the type and the name of the variable I'm using.

    其中唯一的区别是数据类型的名字,我使用的变量名字。

    哈佛公开课 - 计算机科学课程节选

  • I managed to find price indexes for Norway and Netherlands going back to 1890 and compared that with the U.S.

    我找到了挪威荷兰1890年的,价格指数数据,当时的美国作比较

    耶鲁公开课 - 金融市场课程节选

  • 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,来我们的结论比对一下

    耶鲁公开课 - 博弈论课程节选

  • And then we try and get our simulation to match the past, and hope that that will help it predict the future.

    尝试让仿真程序能这一部分实际数据相符,并且希望它能够帮我们对未来进行预测。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • So the Priestly materials are found as a block in Leviticus, a large part of Numbers, and then they're scattered throughout Genesis and Exodus.

    在《利未记》中,与祭司相关的内容占了很大一块,有很多的数据,它们都将贯穿在《创世纪》《出埃及记》中。

    耶鲁公开课 - 旧约导论课程节选

  • 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

  • Even if you go on line there's, by now, a lot of databases from faces from all sorts of genders and national origins.

    即使你上网,现在,有很多面部表情数据库,各种性别种族。

    耶鲁公开课 - 心理学导论课程节选

  • By 1852-53,Boston and New York think about this--Boston-- although we're getting close to that again Boston and New York had 50% foreign-born populations.

    在1852年到1853年间,波士顿纽约,你们听听这个数据,虽然我们现在又快接近这个比例了,那时移民占据波士顿纽约人口的50%

    耶鲁公开课 - 美国内战与重建课程节选

  • Microsoft Bob was kind of like a low end Word processor and spreadsheet but the screen look like a house and this dog walked around and talked to you about writing your book reports or something.

    那是一款类似于,低端文档处理器和数据表,的产品,但是屏幕,看起来像个房子,还有狗走来走去你对话,写书或者报告。

    斯坦福公开课 - 微软CEO-Steve.Ballmer谈科技的未来课程节选

  • It's the various programs you run on your computer along with the various data files that you have saved on your hard drive,and so forth.

    是你自身这个电脑中运行的各种程序,硬盘存有的各种数据文件,类似种种。

    耶鲁公开课 - 死亡课程节选

  • It's visualizing data, visualizing information, moving around in real time.

    这些数据信息变得看得见,摸得着,在不断实时运转着。

    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

  • If we look at our different foods and we look at the calories and the fat and how it all stacks up, here's what you get.

    让我们看看刚才提到的食物,看看卡路里脂肪,数据累积相加,这是得到的结果

    耶鲁公开课 - 关于食物的心理学、生物学和政治学课程节选

  • They live much longer lives and they live to die of something else and the leading causes of death currently haven't changed very much since 1997 when this data was published: they die of heart disease and cancer primarily.

    人们活的更久了,不过会死于另一些疾病,如今导致死亡的主要原因,并没有太大的变化,自一九九七年有相关数据公开开始,其显示人们主要死于心脏病癌症

    耶鲁公开课 - 生物医学工程探索课程节选

  • In other words there was not enough data on these things, in other words, with other conventional mortgages, you have data covering peace and war, prosperity and depression and so forth and you can follow these data back for decades.

    换句话说,关于这些新增贷款没有足够数据,换种说法,其他传统贷款相比,你有战争时期的数据,有市场繁荣萧条时的数据等等,你可以追述这些数据

    斯坦福公开课 - 经济学课程节选

  • Now, as an aside, there's another couple of layers at the very top above the stack and above the heap, but below the tech segment and those are called initialized data and uninitialized data.

    题外话,在堆栈的顶端,还有好几层,但是在技术段之下,他们被叫做初始化数据未初始化数据

    哈佛公开课 - 计算机科学课程节选

  • 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

  • In particular functions that operate on the data, perhaps on other data as well. The key idea here is to bind together the data and the functions that operate on that data as a single thing.

    特别是处理数据的函数,也可能处理其他数据,这里的关键思想就是,将函数操作数据的函数。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • won't dovetail with the units that come out of this calculation.

    我们得出的数据的单位,将不会最后的计算单位相吻合。

    麻省理工公开课 - 固态化学导论课程节选

  • In Week 2 we'll look at things like cryptography and functions and the tools that by which you begin to assemble solutions to problems; in Week 3 we'll introduce what are generally ; known as algorithms and data structures; mechanisms by which you can solve problems more efficiently, effectively.

    第2周,我们学习加密技术及其功能,还会学到一些操作工具,通过这些工具的使用来收集解决问题的办法,第3周,我们将介绍;,算法和数据结构,以及可以更有效地解决问题的机制。

    哈佛公开课 - 计算机科学课程节选

  • And it's a topic I want to pick up on today, we're going to do for the next few lectures, and it's a topic I want to spend some time on because this idea of capturing data and methods, the term we're going to use for it, but data and functions that belong to that data, things that can be used to manipulate them, is a really powerful one.

    我们会在今天讲这个话题,在后面几节课还会讲这个,这是个我愿意花点时间,在上面的话题因为这是个,捕获数据方法的思想,我们用这个术语来形容它,数据中包括了数据函数等,能用来操作它们的东西,真的是很强大的工具,我们真正要讲的东西是,我们要学会如何把信息。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • I'm going to say, gee, p2 is the x value the same in both of them, and if it is, and the y value's the same, then this is the same point, I'm going to return true.

    这样的数据对象,我会把它们命名为p1,我会去查看,看看两个对象中,的x值是不是相同,如果相同的话,就去查看y值是否相同。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • I don't have the data in front of me, so let's emphasize the difference between r1 and rf.

    我现在手头没有具体数据,我们现在把目光转移到r1rf的数值差上。

    耶鲁公开课 - 金融市场课程节选

  • Conceptually, it's put at the top of my chunk of RAM, -- below it, goes initialized and uninitialized data -- - this is a fancy way of saying global variables come next -- and below that, comes what's called the heap.

    概念上,它放置在内存块的顶端,在下面,已初始化的未初始化的数据-,这是一种指明紧随其后的全局变量的设想方式-,在后来,引入了一个叫做堆的东西。

    哈佛公开课 - 计算机科学课程节选

  • At the end of the day this is all about equipping you with skills and knowledge and understanding with which to take a problem, take a large data set maybe and actually produce something useful-- produce a project that is of interest to you.

    下午放学后,就用学到的技能,知识理解力来,解决问题,或者处理超大数据集,或制造一些有用的东西-,例如发起一个你们感兴趣的项目。

    哈佛公开课 - 计算机科学课程节选

  • An object is a collection of data and functions.

    对象就是数据函数的集合。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • We want to do the same thing, but with our data types.

    我们想要创建数据类型函数,或者我们会叫他们方法。

    麻省理工公开课 - 计算机科学及编程导论课程节选

  • You can take a problem that might be relatively intuitive to solve but when you scale this thing up as is increasingly the case in the web, in large data systems, and so forth, you actually have to now think smart, you actually have to think efficiently and you have to solve this problem effectively.

    你可以把一个问题用比较直观的方法解决,但如果你把此类问题的数量增大,正如越来越多的互联网,大规模数据系统中出现的问题等等,你应该考虑怎样才能更简便,怎样才能更高效,你应该用行之有效的方法处理问题。

    哈佛公开课 - 计算机科学课程节选

  • Turns out they make stock data and the like available essentially via text files or via a simple API application programming interface which will be one of the themes of the course.

    他们基本上是通过使用文本文件,或者通过一个简单的API应用,或者编程接口来获取股票其他一些数据,这些都是本课程的主要内容。

    哈佛公开课 - 计算机科学课程节选

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