清理 数据 英语是什么意思 - 英语翻译

cleansing data
clean data
干净的数据
清理数据
清洗数据
数据清净

在 中文 中使用 清理 数据 的示例及其翻译为 英语

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结果,数据科学家花费了大部分时间来清理数据
Data analysts spend most of their time cleaning data.
因此,清理数据是数据处理流程中的关键一步。
Cleansing data is therefore a key step in the data processing pipeline.
收集、验证和清理数据仅是开始程序。
The process of gathering, validating and cleansing data is just starting.
问题:“清理数据”是一个视角问题.
Issue:“Clean data” is a matter of perspective.
通过这样做,他们可以过滤和清理数据
By doing this, they can filter and clean data.
通过这样做,可以过滤和清理数据
By doing this, they can filter and clean data.
没有充分地清理数据
Adequate data cleaning has not been undertaken.
关于后者,正在继续清理数据
Regarding the latter, the task of cleaning up the data continues.
不过,在此阶段清理数据并不会防止劣质数据在将来进入其中。
However, cleaning data at this stage does nothing to prevent the entry of bad data in the future.
清理数据至关重要,涉及丢弃无关数据并仅保留高质量,最新,完整和相关的数据。
Cleansing data is vital and involves discarding irrelevant data and retaining only high quality, current, complete and relevant data..
重要的能力是收集和清理数据、构建系统,以及开发和支持算法和其他统计引擎。
Abilities that are important are gathering and cleaning data, building systems, and developing and supporting algorithms and other statistical engines.
收集和清理数据通常占了数据科学家工作的80%左右。
Collecting and cleaning data typically makes up around 80 percent of a data scientist's work.
数据工程师负责维护数据管线:提取数据,清理数据,特征工程和模型发现。
Data engineers are responsible for maintaining the data pipeline:ingesting data, cleaning data, feature engineering, and model discovery.
数据集不应混乱,因为你不希望花费大量时间清理数据
A high-quality data set should not be messy,because you do not want to spend a lot of time cleaning data.
数据集不应混乱,因为你不希望花费大量时间清理数据
It shouldn't be messy,because you don't want to spend a lot of time cleaning data.
数据集不应该是混乱的,因为你不希望花费大量时间来清理数据
A high-quality data set should not be messy,because you do not want to spend a lot of time cleaning data.
老话说:需要花费70-80%的时间来收集和清理数据,这是真实的。
The old saying aboutspending 70-80% of your time just collecting and cleaning data is true.
数据集不应该是混乱的,因为你不希望花费大量时间来清理数据
It shouldn't be messy,because you don't want to spend a lot of time cleaning data.
大数据分析有助于整合现有的见解,在数据点和数据集之间建立联系,并清理数据
Big data analytics are useful in finding existing insights and creating connections between data points and sets,as well as cleaning data.
该项目将包括清理数据,例如清理财务和薪给信息数据。
This will include data cleansing of, for example, finance and payroll information.
用户构建的管道可以清理数据,填充缺失值,然后生成标记异常值,并预测未来值的模型。
The pipeline you build can clean the data, fill in missing values and then generate models that will flag outliers and predict future values.
清理数据和减少重复的工作可能会进一步减少正式计数。
Efforts to clean up the data and reduce duplications could further cull the formal count.….
数据分析师应该知道如何使用Python清理数据,如何执行数据分析,以及如何使用清晰的可视化和表格来呈现信息。
Data analysts should know how to clean data using Python, how to perform data analysis, and how to present information with clear visualizations and tables.
通常,需要采取诸如清理数据的步骤,以便不会有私人内容。
Often, steps need to be taken such as scrubbing the data so that no private content remains.
随着学习的深入,你会发现获取和清理数据是比真正的机器学习更耗时的。
As you go along, you realize that fetching and cleaning up the data can be much more time consuming than doing the actually machine learning.
定期清理数据:创建每日作业,以删除超过三个月的所有推文。
Clean up data regularly: Create a daily job that deletes all tweets older than three months.
每当收到新数据时,分析师都需要重复进行手动数据准备任务,调整数据结构并清理数据以进行分析。
Every time new data is received, analysts need to repeat manualdata preparation tasks to adjust the structure and clean the data for analysis.
即使可以实现这一点,美艾利尔的财务人员仍然需要清理数据并使用Access和Excel手动处理数据。
Even if it could achieve that,Alere's finance personnel would still have to clean the data and manually process it using Access and Excel.
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