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

• 大型数据集
• 大数据集
• 大的数据集
• 庞大的数据集
• 大量的数据集
• 大规模数据集
• 较大的数据集

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

The Large Datasets.
这些大型集.

Data analysis courses address methods for managing and analyzing large datasets.
数据分析课程介绍管理和分析大规模数据的方法。

Large datasets are a means to an end;
大数据集是达到目的的一种手段;

Both studies are based in large datasets with thousands of companies.
两项研究均基于数千家公司的大型数据集。

This is true: bubble sort is conceptually simple but slow for large datasets.
是真的：冒泡排序概念上很简单，但是对于大数据集来说速度非常慢。

For large datasets, this method works well.
对于大数据集，这个方法效果很好。

Experience in handling and processing large datasets of videos and images.
处理和处理视频和图像的大型数据集的经验.

Running it provides good convergence but can be slow particularly on large datasets.
运行它可以提供较好的收敛结果，但在大数据集上会非常慢。

For relatively large datasets, however, Adam is very robust.
对相对较大的数据集，Adam优化器非常鲁棒。

Pig: A data flow language and execution environment for exploring very large datasets.
Pig:数据流语言和运行环境，用以探究非常庞大的数据集。

For relatively large datasets, however, Adam is very robust.
然而，对于相对较大的数据集，Adam非常强大。

However, this method is computationally very expensive and cannot be applied to very large datasets.
然而，这些方法在计算上是昂贵的并且不能很好地扩展到大数据集。

For this it needs large datasets to be able to make predictions and suggestions.
这就需要大数据来进行预测和指导。

Works better on small data: To achieve high performance, deep networks require extremely large datasets.
对小数据更好：为了实现高性能，深层网络需要非常大的数据集。

By combing through extremely large datasets, analysts can reveal patterns in your behavior.
通过梳理非常大的数据集，分析师可以揭示你的行为模式。

If you're a Hadoop developer, you already know the complexities of large datasets and cluster computing.
作为Hadoop开发者，你一定已经了解了大数据集和集群计算的复杂性。

The Large Datasets are accessible for anyone to analyze the Data without any requirement for the data to be downloaded or stored.
这些大型数据集可供任何人用来分析数据，而无需下载或存储这些数据。

SQLite- Tabular database format that handles large datasets, but still works on your desktop.
SQLite-Tabular数据库格式，能够处理大规模数据集，同时也能在桌面环境运行。

Principal component analysis is commonly used in the social sciences, market research, and other industries that use large datasets.
它通常用于社会科学，市场研究和其他使用大数据集的行业。

Deep learning requires large datasets, which can be difficult and expensive to obtain, and can require a great deal of processing power.
深度学习需要大量的数据集，这极难取得且费用昂贵，而且还需要大量的处理能力。

The goal is to efficiently, and visually, diagnose how representative large datasets, like the Quick, Draw!
我们的目标是高效、可视化地诊断大型数据集的代表性，如Quick,Draw!

Unlike the face and body, large datasets do not exist of hand images that have been laboriously annotated with labels of parts and positions.
与面部和身体不同，大型数据集不存在手部图像，这些图像使用部件和位置标签进行了费力的注释。

The paper says that selecting 5-20 words works well for smaller datasets, and you can get away with only 2-5 words for large datasets.
论文中说5-20个词适合小数据集，2-5个词适合大数据集。

Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings.
许多现有的协同滤波算法既不能处理非常大的数据集，也不能轻松处理那些有很少数据的用户。

WIPO created its own software, based on open-source software and libraries and capitalized on in-house expertise in handling large datasets.
产权组织在开放源代码软件和图书馆的基础上开发了自己的软件，并利用内部专家来处理庞大的数据集。

Cloud workloads- such as the computation workloads used to analyze large datasets- can be spun up only as needed and to whatever scale required.
云工作负载，例如用于分析大型数据集的计算工作负载，只能根据需要和所需的任何规模进行分解。

To develop WIPO Translate, WIPO created its own software, based on open-source software and libraries and capitalized on in-house expertise in handling large datasets.
为了开发翻译程序，WIPO根据开源软件和图书馆创建了自己的软件并利用内部经验来处理大量的数据集。

Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings.
摘要很多现有的协同过滤的方法既不能处理非常大的数据集，也不能容易地应对有非常少的评价的用户。

Therefore, researchers making computations on large datasets often spread the work over many computers, a process sometimes called parallel programming.
因此，对大型数据集进行计算的研究人员经常将工作分散在许多计算机上，这个过程有时称为并行编程。

Increasingly organisations require skilled professionals who can handle large datasets and managers who can utilise the resulting analysis to make impactful decisions.
越来越多的组织需要能够处理大型数据集的熟练专业人员和能够利用结果分析做出有影响力的决策的管理人员。