DATA SCIENTISTS CAN in Chinese translation

• 数据科学家可以
• 数据科学家能够
• 数据科学家可

Examples of using Data scientists can in English and their translations into Chinese

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。

Some organizations believe that a data scientist can create data pipelines.
一些机构认为数据科学家可以创建数据管线。

A data scientist can acquire these skills;
数据科学家可以获得这些技能;

The data scientist can use its preferred interface- R, Python, Scala, Web UI Notebook, etc.- for this.
数据科学家可以使用其首选的界面-R，Python，Scala，WebUINotebook等。

The data scientist can use his or her favorite programming language like R, Python or Scala.
数据科学家可以在上面使用他们喜欢的编程语言，如R语言、Python或Scala。

The Type A Data Scientist can code well enough to work with data but is not necessarily an expert.
A型数据科学家能够很好地编写操作数据的代码，但并不一定是一个专家。

It could be a file on a file system, and the data scientist could read the file into their favorite analysis tool.
它可以是文件系统中的一个文件，数据科学家可以将该文件读入他们最喜欢的分析工具。

Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they're looking for.
在数据科学家可以在结构化或非结构化数据中找到意义之前，企业领导、部门和管理者需要就他们正在寻找的内容进行沟通。

Before the data scientist can discover meaning in unstructured or structured data, business leaders and managers need to communicate what they are looking for.
在数据科学家可以在结构化或非结构化数据中找到意义之前，企业领导、部门和管理者需要就他们正在寻找的内容进行沟通。

Before a data scientist can find meaning in either structured or unstructured data, business leaders, departments and managers need to communicate what they're looking for.
在数据科学家可以在结构化或非结构化数据中找到意义之前，企业领导、部门和管理者需要就他们正在寻找的内容进行沟通。

Data scientists can help with this process.
数据科学家可以助力这个过程。

That's a question our data scientists can answer.
这些是每个数据科学家都能够回答的问题。

Programmers and data scientists can take the lead in combating bias.
程序员和数据科学家可以成为对抗偏见的先锋。

Three Things Data Scientists Can do to help themselves and their organizations.
数据科学家可以做的三件事可以帮助自己和组织.

So data scientists can gain the power of HANA by supporting big data storage.
所以数据科学家可以通过支持大数据存储来获得HANA的力量。

That's why data scientists can spend hours on pre-processing and cleansing the data..
这就是为什么数据科学家可以花费数小时对数据进行预处理和清理。

Data scientists can use TensorFlow, once they can get over the considerable barriers to learn-.
数据科学家可以使用TensorFlow，一旦他们可以克服学习框架的相当大的障碍。

Let's take a look at some of the programming languages data scientists can use.
我们来看看数据科学家可以使用的一些编程语言。

Caffe and Caffe2 are separate repos, so data scientists can continue to use the orginial Caffe.
Caffe和Caffe2是相互独立的仓库（repo），所以数据科学家可以继续使用最初的Caffe。

Since the amount of data is enormously huge, only experienced data scientists can make precise breakdown.
由于数据量巨大，只有经验丰富的数据科学家才能精确分解。