数据变得 - 翻译成英语

• data becomes
• data gets
• data become
• data became

在 中文 中使用 数据变得 的示例及其翻译为 英语

随着数据变得更有价值，合成数据和其他“精益”和“增强”数据学习的技术进步将加速。
As data becomes more valuable, advances in synthetic data and other“lean” and“augmented” data learning techniques will accelerate.

随着用户数据变得更加准确和全面，它将提供有用的数据，改变人们与机器交互的方式。
As user data becomes more accurate and comprehensive, it will provide usable data that changes the way people interact with machines.

现在软件无法被理解，没有其数据和数据变得有价值，只要感谢软件分析。
Software cannot be understood without its data and data becomes valuable only thanks to the software analyzing it.

美联储（美元）--收紧货币政策，但担心缺乏通胀，这意味着通胀率数据变得非常重要。
Federal Reserve(U. S. dollar)- tightening monetary policy, but concerned about the lack of inflation, meaning inflation rate data becomes important.

基于准确性的价值：收集大量数据并不意味着数据变得干净准确。
Veracity-based value: Amassing a lot of data does not mean the data becomes clean and accurate.

如果你将数据存储在链上，你就不能遵守数据规则，因为数据变得不可变，这就是区块链的全部意义。
If you store data on-chain, you cannot comply with data regulations because the data becomes immutable, which is the whole point of a blockchain.

这些问题的共同特色是当维数提高时，空间的体积提高太快，因而可用数据变得很稀疏。
The issue here is that when the dimensionality increases, the space volume increases fast as well, and available data becomes sparse.

而且该公司强调，通过他们的语言，这些数据变得成熟而适用于“全面计算”。
The company stresses however, that it's through their language that the data becomes ripe for‘full computation.'.

然而，随着数据变得越来越大，查找Excel这样的数据库就会变得慢多了，也不再可靠。
However, as the amount of data gets bigger, searching a database like Excel becomes much slower and no longer reliable.

然而，随着数据变得越来越大，查找Excel这样的数据库就会变得慢多了，也不再可靠。
However, as the amount of data gets bigger, searching a database like Excel becomes much slower and no longer reliable.

失业数据变得越来越没有意义，因为在零工经济中以合同劳动的形式出现了新的制度化就业不足问题。
Unemployment data has become more and more meaningless due to a new institutionalized underemployment in the form of contract labor in the gig economy.

数据变得如此普遍存在，这对大多数人来说是必需的。
Data has become so ubiquitous that it is a necessity for most people.

以下是人力资源可以利用数据变得更具战略性的五种方式。
Here are five ways that HR can leverage data to become more strategic.

随着数据变得越来越无处不在，搜索需求也相应地扩大了。
As data has become more ubiquitous, search needs have correspondingly expanded.

此外，患者数据变得更加集中，从而将医院转变为数据中心。
Also, patient data is becoming more centralised, thus turning hospitals into data centers.

在这种情况下，处理器可能花费高达50%的时间等待内存数据变得可用。
In such cases the processor can spend upto fifty percent of its time waiting for data to become available from the memory.

和AWSIoTAnalytics（分析），这是一个托管服务，用于分析数据并支持机器学习，从而使数据变得清晰。
And AWS IoT Analytics, which is a managed service for the analysis of data with support for machine learning, allowing data to become insight.

作为数字化转型之旅的一部分，企业要么迁移到云端，要么转移到多云环境，但这会使保护敏感数据变得越来越复杂。
As companies move to the cloud or multi-cloud environments as part of their digital transformation journey, protecting their sensitive data becomes increasingly complex.

创新的崛起随着电子邮件的减少，浪费的会议消失，聊天机会被采用，数据变得更加可用，员工将能够将更多的时间花在创新上。
As email decreases, wasteful meetings disappear, chatbots get adopted, and data becomes more usable, employees will be able to spend more of their time innovating.

随着数据变得越来越智能化（语义或关联数据），学习者数据、个人档案信息和课程数据可以以某种形式放在一起进行分析。
With data becoming increasingly intelligent(semantic or linked data), learner data, profile information, and curricular data can be brought together in some reliable format.