What is the translation of " THESE DATASETS " in Chinese?

这些数据集

Examples of using These datasets in English and their translations into Chinese

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Patterns emerge from these datasets.
模式从这些数据中浮现。
These datasets are freely available to anyone.
这些数据对任何人来说都是免费使用的。
How do you plan to"delete" these datasets?
如何“唤醒”这些数据?
You can't get these datasets anywhere else.
你在其他任何地方都找不到这些数据
Citizens can also be enlisted to help create andanalyze these datasets.
公民也可以参与帮助创建和分析这些数据集
Whatever your use case, these datasets are freely available on GCP.
无论用于何种场合,这些数据集均可在GCP上免费获取。
These datasets are either derived from URL link databases or web traces.
这些数据集来自URL链接数据库或Web跟踪。
Due to intellectual property matters and other privacy concerns,however, these datasets remain limited in scope.
由于知识产权问题和其他隐私问题,然而,这些数据集的范围仍然有限。
These datasets tell us when and where to look for the effects of climate change,” he says.
这些数据集告诉我们在何时何地去寻找气候变化的影响,”他说。
When machine learning models are applied to these datasets, IT activity transforms from reactive to predictive to future-proof.
当机器学习模型应用于这些数据集时,IT操作从被动转变为预测。
These datasets are available for download and can be used to create your own recommender systems.
这些数据集可供下载,用于创建你自己的推荐系统。
Despite a wealth of metagenomics studies, methods to leverage these datasets to identify future threats are underdeveloped.
尽管进行了大量宏基因组学研究,但利用这些数据库识别未来威胁的方法仍未得到开发。
These datasets add a new category of data to the existing AWS Open Data datasets..
这些数据集向现有的AWSOpenData数据集种添加了一种新数据类别。
First, much of the work in vivo has been largely descriptive,I think because these datasets are hard to collect and challenging to analyze.
首先,体内的许多工作基本上都是描述性的,我认为是因为这些数据集很难收集且难以分析。
These datasets are being made available via a user-friendly interface on USGS's Earth Explorer website.
这些数据将通过USGS地球探索者网站友好界面提供。
Dataset Search enables users to find datasets stored across thousands of repositories on the Web,making these datasets universally accessible and useful.
数据集搜索使用户能够查找网上数以千计的存储区中存储的数据集,从而让这些数据集可供大众使用,让人人受益。
These datasets cover a narrow, wide strip of the sky measuring 130 degrees wide and just two degrees tall.
这些数据覆盖了天空中一道狭长区域,宽130度,而高度仅有2度。
If you want to download these datasets, copy them to data folder in the sample application main directory.
如果你想下载这些数据集,将它们拷贝到应用样例主目录的数据文件夹中。
These datasets typically contain time and location information, which provide useful context when viewed on a map.
这些数据集通常包含时间和位置信息,这在查看地图时可以提供非常有用的背景信息。
Broadly speaking, Big Data refers to these datasets, that are so large that they can no longer be processed through traditional methods of analysis.
从广义上讲,大数据是指这些数据集,它们太大,以致无法再通过传统的分析方法进行处理。
These datasets revealed a consistent flickering: ASASSN-14li's X-ray emissions rise and fall every 131 seconds.
发现这些数据集显示了一个一致的闪烁现象:ASASSN-14li的x射线辐射每131秒上升和下降一次。
The real challenge is combining these datasets across different archives and cross referencing them with patient records, treatments and outcomes.
我们面临的真正挑战是在不同档案间合并这些数据集,并交叉引用病人的病历、临床治疗及效果。
These datasets are not associated with a competition, but still facilitate learning through code sharing and forum discussions.
这些数据集和竞赛没有关系,但通过共享代码和论坛讨论,他们依然对学习有所帮助。
The enormity and complexity of these datasets present significant challenges in analysis and subsequent applications to a practical clinical environment.
这些数据集的数据量和复杂性给分析及后续应用到实际的临床环境带来了巨大的挑战。
These datasets include the Human Genome Project, the Common Crawl web corpus, Wikipedia data, and Google Books Ngrams.
这些数据集包括人类基因组项目、CommonCrawl网页语料库、维基百科数据和GoogleBooksNgrams。
By analyzing where these datasets overlap, researchers can begin to predict on a large scale which drugs will best fight various cancers.
通过分析这些数据集的在哪些地方重叠,研究者能够开始在大规模上预测哪些药物将更好地抗击癌症。
These datasets are then compared to another database that includes all the gene interactions currently known- which is growing all the time.
然后将这些数据集与另一个数据库进行比较,该数据库包含了目前已知的所有基因相互作用,并且一直在增长。
By analyzing where these datasets overlap, researchers can begin to predict on a large scale which drugs will best fight various cancers.
通过分析这些数据集在哪些地方发生重叠,他们能够开始在较大的规模上预测哪些药物将最佳地抵抗多种癌症。
These datasets can be orders of magnitude larger than traditional datasets, which demands more thought at each stage of the processing and storage life cycle.
这些数据集可以比传统数据集大几个数量级,这需要在处理和存储生命周期的每个阶段进行更多思考。
These datasets are thought to require multi-sentence reasoning and significant world knowledge to solve suggesting that our model improves these skills predominantly via unsupervised learning.
这些数据集的识别被认为需要多句推理和重要的世界知识,这表明我们的模型主要通过无监督学习来提高这些能力。
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