What is the translation of " 数据清洗 " in English?

• data cleaning
• data cleansing

Examples of using 数据清洗 in Chinese and their translations into English

什么是数据清洗？?
What is data cleaning?

什么是数据清洗？?
What is Data Cleansing?

数据清洗结果如下。
The data cleaning was as follows.

数据清洗和准备。
Data cleansing and preparation.

之后，还要进行数据清洗。
In addition, data cleaning will be undertaken.

在抓取到海量数据以后，下一步就是数据清洗。
After data transformation, the next step is data cleansing.

第二阶段是数据清洗。
The second step is data cleaning.

在这里，我将介绍KNIME中数据清洗步骤的概述。
Here I will cover an overview of data cleaning steps in KNIME.

业务数据录入与数据清洗；.
Miscellaneous data entry and data cleaning;

识别和修复这些问题数据的过程也叫做数据清洗。
The process of identifying and repairing issues with the data is called data cleaning.

Q19：什么叫数据清洗？?
Q14: What is data cleaning?

我使用Python的Pandaslibrary来进行数据清洗。
I used Python's Pandas library to clean the dataset.

数据预处理也称数据清洗。
Data cleaning is also referred to as Data Cleansing.

数据清洗过程通常会使用各种不同的方法，包括定制转换器等，用流水线中的定制的转换器去执行数据清洗动作。
Data cleaning process typically uses various approaches including custom transformers where the data cleansing actions are executed with custom transformers included in the pipeline.

数据清洗和特征工程是数据准备的一部分，也是机器学习和深度学习应用的基础。
Both data cleansing and feature engineering are part of data preparation and fundamental to the application of machine learning and deep learning algorithms.

这部分数据处理被称为数据清洗，且通常被认为是一个单独的步骤。
This part of the data processing is called data cleaning and often is considered to be a separate process.

数据清洗：在示例程序中，我们不做任何特别的数据清洗操作。
Data Cleansing: In our sample application, we don't perform any specific data cleaning.

数据清洗(Datacleaning)-对数据进行重新审查和校验的过程，目的在于删除重复信息、纠正存在的错误，并提供数据一致性。
Data cleaning is the process of reexamining and verifying data to remove duplicate information, correct existing errors, and provide data consistency.

随着对DaaS的需求增加，我预计我们还会看到整个数据市场和数据清洗产品及服务都围绕着它不断发展。
As demand for DaaS increases, I expect we will also see an entire industry of data marketplaces and data cleaning products and services built around it.

对于任何重要的特征工程，其大部分工作实际上就是数据清洗。
A huge part of any significant feature engineering, in fact, is data cleansing.

这些组织拥有大规模的基础设施，并使用各种技术，包括数据清洗，以帮助保持您的网站在线。
These organizations have large-scale infrastructure and use a variety of technologies, including data cleaning, to help keep your website online.

实施和维护数据仓系统并提高其可用性；在各种平台上进行数据清洗和数据联合；.
Implement, maintain and enhance the availability of the data warehouse system; provide data cleansing and federation across various platforms;

这个模型的数据积累往往涉及大量web爬行,数据清洗、和实体解析。
This model of data accumulation often involves heavy web crawling, data cleaning, and entity resolution.

在大规模数据环境下的统计模型的构建，包括数据清洗和验证。
Statistical model-building in the massive data setting, including data cleansing and validation;

象Trifacta、OpenRefine或ActiveClean等数据转换工具都可以用来完成数据清洗任务。
Data wrangling tools like Trifacta, OpenRefine or ActiveClean are used for data cleaning needs.

较少的数据清洗要求：相比其他建模技术它需要较少的数据清洗。
Less data cleaning required: It requires less data cleaning compared to some other modeling techniques.

你将使用它来进行数据清洗，特别是你在做文本数据的工作时。
You will need to use them a lot for data cleansing, especially if you are working on text data..

你将会大量使用它来进行数据清洗，特别是在处理文本数据。
You will need to use them a lot for data cleansing, especially if you are working on text data..

掌握数据清洗非常重要，因为它是数据科学的一个大的部分。
Knowing about data cleaning is vitally important, because it is a tremendous portion of information science.