What is the translation of " COMPLEX DATA SETS " in Chinese?

• 复杂的数据集

Examples of using Complex data sets in English and their translations into Chinese

Create artful graphs to visualize complex data sets and functions.
创建精美图形来展示复杂数据和函数.

For large, complex data sets you can see significant performance improvement.
所有，对于复杂的大数据集，你能看到显著的性能提高。

Predicting and forecasting various scenarios rely on large and complex data sets.
预测和预测各种情况依赖于大型复杂的数据集。

Big data is larger with more complex data sets, especially from new data sources.
大数据是复杂数据集的集合，特别是来自新的数据集。

MVC was conceived as a general solution to the problem of users controlling complex data sets.
MVC被认为是用户控制大型复杂数据集问题的一般解决方案。

For large scenes and complex data sets(typically more than 1,000 objects or 100,000 polygons).
大型场景与复杂的数据集(通常超过1,000个对象或100,000个多边形)：.

Dominici specializes in developing statistical methods to analyze large and complex data sets.
Dominici专长于开发统计方法来分析大型和复杂的数据。

Using R, you can sift through complex data sets, create cool graphics to represent numbers in just a few lines of code.
通过R，您可以筛选复杂的数据集，通过复杂的建模功能处理数据，并创建简洁的图形以用几行代码表示数字。

(J) How the Federal Government utilizes artificial intelligence to handle large or complex data sets.
联邦政府如何利用人工智能处理重大且复杂的数据集。

It can be used both on large complex data sets and as a more accurate and informative alternative to data modeling on smaller data sets..
它既可以用于大型复杂数据集，也可以用作较小数据集上数据建模的更准确和更有意义的替代方法。

For example, computers today can process and analyze large, complex data sets in milliseconds.
例如，当今的计算机可以以毫秒为单位处理和分析大型复杂的数据集。

The drivers are increasingly large and complex data sets, growing need to reduce increasing healthcare costs, improving computing power and declining cost of hardware.
驱动因素越来越大，数据集也越来越复杂，越来越需要降低日益增加的医疗成本、提高计算能力、降低硬件成本。

New experimental tools in neuroscience are yielding larger and more complex data sets than ever before.
神经科学中的计算工具正在产生比以往更大、更复杂的数据集。

David McCandless turns complex data sets(like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen.
DavidMcCandless将复杂的数据集（如世界范围的军事开支、媒体buzz、Facebook的状态）转换成美观，简单的图表，从而梳理出看不见的模式和联系。

Also, it is important to understand your data: see Practical Advice for Analysis of Large, Complex Data Sets.
此外，了解数据至关重要：请参阅分析大型复杂数据集的实用建议。

Mixed Reality will also help decision-makers understand very complex data sets, leading to better decision-making.
此外，混合现实将帮助决策者了解(非常)复杂的数据集，使他们能够做出更好的决策。

This can be used to confirm business assumptions about what types of groups exist or to identify unknown groups in complex data sets.
这可以用于确定商业假设，存在什么类型的分组或为复杂的数据集确定未知组。

In addition, Mixed Reality will help decision makers with the understanding of(very) complex data sets, which will enable them to make better decisions.
此外，混合现实将帮助决策者了解(非常)复杂的数据集，使他们能够做出更好的决策。

A self-driving car's AI system requires a continuous, uninterrupted stream of data and instructions in order to make real-time decisions based on complex data sets.
自动驾驶汽车的人工智能系统需要一个连续的，不间断的数据和指令流，以便根据复杂的数据集做出实时决策。

We deliver multivariate software and solutions for analyzing large, complex data sets quickly, easily and accurately.
我们可交付多变量软件和解决方案，用于快速、轻松、准确地分析庞大而复杂的数据集。

By applying this five-step method, it is possible to investigate large and complex data sets without being an expert in statistics.
通过应用这个五步法，科学家就可以研究大量复杂的数据集，而不必成为统计专家。

One appeal of the theory is that the dot product reduces the comparison of two complex data sets, like visual images, to a single number.
该理论具有说服力的一点是，点积把两组复杂数据集（例如视觉图像）的对比，减少到一个数字。

AWS desires to provide a simplified avenue for NASA scientists and researchers to share large, complex data sets with external partners and the public.
Nebula还能为NASA科学家和研究人员提供与外部合作者、普通民众分享大量复杂数据集的简捷途径。

The Nebula project also provides a simplified avenue for NASA scientists and researchers to share large, complex data sets with external partners and the public.
Nebula还能为NASA科学家和研究人员提供与外部合作者、普通民众分享大量复杂数据集的简捷途径。

We then use machine learning AI to analyse this complex data set.
然后我们使用机器学习人工智能来分析这个复杂的数据集。

MVC was conceived as a general solution to the problem of users controlling a large and complex data set.
MVC被认为是用户控制大型复杂数据集问题的一般解决方案。

MVC architecture is explained as the general solution to the problem of users controlling a large and complex data set.
MVC被认为是用户控制大型复杂数据集问题的一般解决方案。

There are many challenges in migrating large and complex medical data sets to visualization tools.
将大型复杂的医疗数据集迁移到可视化工具中会有很多挑战。

Additionally, it helps data scientist to deal with complex unstructured data sets.
它还帮助数据科学家处理复杂的非结构化数据集。

Scientists and researchers can manipulate massive data sets and complex simulations, visualizing data up to 5 times faster.
科研人员可操作大量数据集和复杂模拟，数据可视化的速度提升最高达5倍。