What is the translation of " 的数据集中 " in English?

Noun
dataset
数据集
一个数据集
个数据集来
据集
data set
数据集
一个数据集
一组数据
个数据集中
的一套数据
of the data is concentrated

Examples of using 的数据集中 in Chinese and their translations into English

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而特斯拉的数据集中只有5714辆符合条件。
Tesla's data set only included 5,714 vehicles like that.
在我们的数据集中,我们发现70%的初创公司在某个方面过早地扩展。
In our dataset we found that 70% of startups scaled prematurely along some dimension.
在这个庞大的数据集中,更多的行星可能潜藏着,并且可能在已经被调查过的多行星系统中引用。
Within this massive data set, many more planets are likely to be lurking, and quote possibly within multi-planetary systems that have already been surveyed.
在一个足够大的数据集中,就会很难“看到”这些关系了,尤其当还要处理3-itemset或者更多项集的时候。
With a large enough dataset, it will be much harder to“see” the relationships especially when you're dealing with 3-itemsets or more.
在他们的数据集中,10个年轻人中有9个在一般紧急部门接受治疗。
In their data set, nine out of 10 young persons were treated in general emergency departments.
对于8维的超球体,大约98%的数据集中在它256个角落处。
For an 8-dimensional hypercube, about 98% of the data is concentrated in its 256 corners.
他们将超过300,000个已分析的块合并到一个名为BHive开源数据集中
They pooled more than 300,000 of the profiled blocks into an open-source dataset called BHive.
在19世纪的数据集中,正如您所期望的那样,女性在社会中的职业和角色非常有限。
In the 19th-century data set, as you would expect, occupations and roles for women in society were extremely limited.
你不必寻找新奇的图片增加到你的数据集中
You don't need to hunt for novelnew images that can be added to your dataset.
翻译引擎不断从新扩展数据集中学习,以便为各种使用案例生成更精确流畅的翻译。
The translation engines are always learning from new andexpanded datasets to produce more accurate translations for a wide range of use cases.
答:在这样高维数据集中,我们不能用传统的回归技术,因为它们的假设往往不成立。
Answer: In such high dimensional data sets, we can't use classical regression techniques, since their assumptions tend to fail.
为了研究这一点,他们从由759个植物、真菌和动物基因组组成的数据集中提取了数百万个逆转录转座子序列。
In order to study this, they extracted millions of retrotransposon sequences from a dataset consisting of 759 plant, fungal, and animal genomes.
这么简单,所以不需要技术或任何种类的数据集中和复杂的自动化策略。
Something as simple as that,so it didn't need technology or any sort of data centralisation and complex automation strategy.
例如,我们可能希望可视化具有100或1,000个特征的数据集中的重要关系。
For example, we might wish to visualize important relationships within a dataset that has 100 or 1,000 features.
它最简单的形式是试图将一个直的超平面整合到你的数据集中(即当你只有两个变量的时候,你只能得到一条直线)。
In its simplest form,it attempts to fit a straight hyperplane to your dataset(i.e. a straight line when you only have 2 variables).
采集的数据集中不仅包括女性的身高,还有她们的年龄、体重、教育背景、吸烟习惯、酒精摄入量,以及是否采用荷尔蒙疗法。
The data set included not only the woman's height but also her age, weight, education, smoking habits, alcohol consumption and whether she used hormone therapy.
在2018年Glockner等人介绍的数据集中,我们的模型准确率达到83.75%,表现类似于通过WordNet整合外部知识的KIM方法。
On the dataset introduced in Glockner et al.(2018) our model achieves 83.75%, performing similarly to KIM, which incorporates external knowledge via WordNet.
在我们的数据集中,有约1/6的公司最终被收购。
Roughly one in six companies in our dataset ended up being acquired to date.
Cady-Pereira和团队正在不断增长的数据集中寻找更多的模式。
Cady-Pereira and her team are looking for more patterns in their growing data set.
它具有用于平衡类不平衡的数据集中的错误的方法。
It has methods forbalancing error in class population unbalanced data sets.
你能否在这个特定的数据集中看到主要的威胁所在??
Can you spot the major threat in this particular set of data?
A)从您的数据集中,识别并分析此人口零模拟的人口统计特征。
From your data set, identify and analyze the demographic characteristics of this simulation of Population Zero.
特征选取是从你的数据集中过滤掉不相关或冗余的特征。
Feature selection is for filtering irrelevant or redundant features from your dataset.
博客/用户生成的内容:可使复杂关系的数据集中在一个对象上.
Blogs/ user-generated content: You can bunch data with complex relationships together in one object.
为了训练MemNet,MIT的研究者从不同的数据集中收集了数万张照片。
To train MemNet,researchers gathered tens of thousands of pictures from several datasets.
接下来,他们将继续优化测试,然后在CCGA更大的数据集中验证它们。
Following this, they will continue to optimise the assays,then validate them in an even larger data set from CCGA.
最近,同一团队着手将其研究结果复制到一个新的数据集中
Recently, the same team set out to replicate its findings in a new dataset.
接下来,他们将继续优化测试,然后在CCGA更大的数据集中验证它们。
After that the researchers will continue to optimize the assays,then validate them in an even larger data set from CCGA.
接下来,他们将继续优化测试,然后在CCGA更大的数据集中验证它们。
Following this, they will continue to optimize the assays,then validate them in an even larger dataset from the CCGA.
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