而数据 英语是什么意思 - 英语翻译

• and data

在 中文 中使用 而数据 的示例及其翻译为 英语

知识依赖于信息，而数据只是信息的另一个名称。
Knowledge relies on information and data is simply another name for information.

问题和知识是目的，而数据则是手段。
Problems and knowledge are the ends, and data is the means.

因此，问题和知识是目的，而数据则是一种手段。
Problems and knowledge are the ends, and data is the means.

而数据科学家可以通过复杂的仿真和建模工具获取信息。
Conversely, data scientists could access information through sophisticated simulation and modeling tools.

而数据科学家可以通过复杂的模拟和建模工具访问信息。
Conversely, data scientists could access information through sophisticated simulation and modeling tools.

大而数据工程.
Big Data and Data Engineers.

信息有意义，而数据没有。
Information has meaning; data by itself has none.

因为鲍威尔说，美联储依赖数据做出决策，而数据表现强劲。
Because Powell said the Fed is data-dependent, and the data are strong.

这是因为机器学习涉及数据，而数据则必须使用统计学框架进行描述。
This should be overtly obvious since machine learning involves data, and data has to be described using a statistical framework.

而数据科学家则倾向于使用“现成数据”，这些数据最初是为了某个目的而被用于研究。
And data scientists tend to work with“ready-made data,” originally made for one purpose and being repurposed for research.

政府每个部门都拥有自己独立的一套数据系统，而数据系统下，不同的数据类型更是数不胜数。
All government departments have a set of data of its own independent systems, and data systems, different types of data are beyond count.

那时候，计算机基本上相当于一个巨大的计算器，而数据（名字，电话号码）则被认为是信息处理的产物。
At the time, computers were basically giant calculators and data(names, phone numbers) was considered the leftovers of processing information.

如果出现中断，而数据没有持久化，那么公司最有价值的资产就会丢失。
If there is an outage and data is not persisted, the most valuable asset of a company will be lost.

机器学习是当今的一个热门话题，而数据（特别是大数据）正是这一现象背后的重要推动因素之一。
Machine learning is a hot topic today, and data(especially big data) is one of the driving factors behind this phenomenon.

商业智能是保持竞争力的关键，而数据分析提供了所需的最新信息。
Business Intelligence is key to stay competitive, and Data Analytics provides the up-to-date information needed.

例如，无线射频技术可以提高库存追踪的精确性，而数据视觉化技术则令员工更容易追踪产品在供应链上的位置。
RFID technologies can improve the precision of inventory tracking and data visualisation technologies make it easier for employees to track products across the supply chain.

现在，这些设备的功能带来了责任，而数据是确定哪里出了问题以及原因的最佳方法。
There is liability now associated with the functionality of those devices, and data is the best way to determine what went wrong and why.

而数据,对我来说,是证明、反驳或塑造你开始看到客户的方式的部分。
And data, for me, is the part that proves, disproves or shapes the way that you can start to see your customer.

数字无法自己说话，而数据集--不管它们具有什么样的规模--仍然是人类设计的产物。
Numbers can't speak for themselves, and data sets- no matter their scale- are still objects of human design.

机器学习改进了我们发现数据中关联性的能力，但做出决策的要求的时间变短了，而数据产生的速度增加了.
Machine learning has improved our ability to find correlations in data, even as time to decision is decreasing and data velocity is increasing.

因此，这些客户在数据中心开发方面拥有巨大的影响力，而数据中心已经迅速适应了更大的需求。
As a result, these customers have a huge influence in data center development, and data centers have quickly adapted to greater demand.

光是一种电磁波，声音是声音的振动，而数据在计算机上是0或1。
Light is an electromagnetic wave, sound is an acoustic vibration and data is a 0 or 1 on a computer.

电信和IT行业消耗了全球10%的电量，而数据中心占据了其中很大一部分。
Telecom and IT consumes ten percent of the world's electricity, and data centres use a large share of that.

对操作员身体施加的压力更小，而数据有助于进一步优化每个人的作业进度。
There is less physical stress for the operator, while the data can help further optimize each individual's work progress.

新技术使资产更耐用、更有活力，而数据和分析则改变着它们的维护方式。
New technologies will make existing assets more durable and resilient, while data and analytics are transforming how they are maintained.

新技术使资产更耐用、更有活力，而数据和分析则改变着它们的维护方式。
New technologies make assets more durable and resilient, while data and analytics change the way they are maintained.

云计算技术将塑造计算技术的未来,而数据也证实,越来越多的公司正在申请专利保护。
Cloud computing technologies will shape the future of computing technologies and the data confirms that a growing number of companies are filing for patent protection.

大数据增强了我们收集和处理数据的能力，而数据科学使我们能够对其进行深入研究以获取见识。
Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

云计算和虚拟化正在推动高密度，而数据中心正变得越来越大，以应对迅速扩大的需求。
Cloud computing and virtualization are driving densities higher, while data centers are growing larger to address rapidly expanding demand.