There is a lot of data generated by people themselves, you can't get any value from it, and retaining it may increase the risk.
尽管我们会得到很多数据,但在那个时候,我们并不知道该做些什么。
Although there was a lot of data on hand at that time, we did not know what to do with them.
有很多数据必须快速运行,内存必须跟上A6或GPU。
There's a lot of data that must be run through quickly, and memory has to keep up with either an A6 or GPU.
今晚我们有很多数据需要通过,以便在我们参加比赛时更好地了解轮胎。
We have got a lot of data to go through tonight to gain a better understanding of the tyres when we get to the race.".
虽然一种低资源语言可能没有很多数据,但是低资源语言的数量很多;.
While one low-resource language may not have a lot of data, there is a long tail of low-resource languages;
没有人没有数据,每个人都有很多数据,我们淹没在其中,所以数据是原材料。
Nobody has no data, everybody has a lot of data and we are drowning in it so data is the raw material.
未来数据还有一个趋势:如今很多数据都在洲际间通过海底光缆来传输,是地理位置之间的传输。
There is still a trend: today, a lot of data is transmitted between the continents through submarine cables, which is a transmission between geographical locations.
我们已经从中获得了很多数据,并且有了如此大量的数据,您可能希望分辨出这是一个还是另一个。
We already have a lot of data, and with that amount of data, I would expect to know if it was one or the other.
同时,可穿戴设备看似收集了很多数据,但这些数据并没有更多的价值。
At the same time, wearable devices seem to collect a lot of data, but this data has no more value.
我认为数据是有魔力的,像亚马逊也有很多数据,这会让这些互联网公司有完全不同的表现。
I think that data is magical, and Amazon also has a lot of data, which will make these Internet companies have completely different performance.
桌子上有很多数据告诉我们,我们错过了这些数据。
There really is, and was, a lot of data on the table that said to us that we were missing out.
那里有很多数据,但如果您的数据传输速度不够快,则无法使用已收集的数据;
There is a lot of data out there, but if the data transmission is not fast enough, you cannot use data that's been collected;
我们有很多数据,但我认为有时我们应该用真实的例子超越这些数据.
We have a lot of data, but I think sometimes we go beyond data with the real truth of what's going on.
即便有了很多数据信息,我们也很难将所有可能的结果一一考虑,尤其涉及到人为因素时。
Even with a lot of data, it's difficult to take into account every possible outcome, especially when it comes to people.
虽然有很多数据科学家也了解编程,知道如何编写和使用计算机语言。
There are a lot of data scientists who also understand programming and know how to code and work with computer languages.
那里有很多数据,但如果您的数据传输速度不够快,则无法使用已收集的数据;
There is a lot of data out there, but if your data transmission is not fast enough, you cannot use data that's been collected;
随着数据的集中,以及基于这些数据的关联、整合、分析,很多数据应用场景应运而生,可以无限畅想。
With centralized data, and on the relevance of these data, integration, analysis, application scenarios emerged a lot of data, unlimited imagination.
两年前,很多数据分析师认为能在40分钟内得到查询结果简直是奇迹了。
Two years ago, many data analysts thought that generating a result from a query in less than 40 minutes was nothing short of miraculous.
JupyterNotebook已经成为很多数据科学家和机器学习(ML)研究人员的首选开发环境。
Jupyter Notebooks have become the preferred development environment of many data scientists and ML researchers.
很多数据挖掘工具都是独立应用程序,专为预测需求或识别关系而存在,其功能也就仅限于此。
Many data mining tools are stand-alone applications that exist for the purpose of forecasting demand or identifying relationships and their functionality stops there.
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