数据科学家可以 in English translation

data scientists can
数据 科学 家 可以
data scientists may
data scientist can
数据 科学 家 可以

Examples of using 数据科学家可以 in Chinese and their translations into English

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但是,我们也提供了很多东西:数据科学家可以在这里从事各种各样的项目。
However, we too have a lot to offer: Data scientists get to work on a wide variety of projects here.
因此,我们主要关注的是创造出一个环境--实验室,在这里,数据科学家可以提出问题,构建模型,并用数据进行测试。
Thus we are mainly focused on creating an environment-“the lab”- where data scientists can ask questions, build models, and experiment with data..
实验分析是很可能出错的(这一点可以询问任何统计学家),因此,在这方面,数据科学家可以提供很多帮助。
There's a lot of ways that experiment analysis can go wrong(ask any statistician), so data scientists can help a lot here.
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 structured or unstructured data, business leaders and department managers must communicate what they're looking for.
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.
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.
数据科学家可以助力这个过程。
Data scientists can help with this process.
我们来看看数据科学家可以使用的一些编程语言。
Let's take a look at some of the programming languages data scientists can use.
数据科学家可以做的三件事可以帮助自己和组织.
Three Things Data Scientists Can do to help themselves and their organizations.
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。
So data scientists can gain the power of HANA by supporting big data storage.
程序员和数据科学家可以成为对抗偏见的先锋。
Programmers and data scientists can take the lead in combating bias.
数据科学家可以通过非结构化数据创建自定义分析或其他应用程序。
Data scientists are then able to create customized analytics or other applications through the unstructured data..
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。
Data scientists can use TensorFlow, once they can get over the considerable barriers to learn-.
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。
That's why data scientists can spend hours on pre-processing and cleansing the data..
简而言之,就是少数几名数据科学家可以做许多科学家的工作。
In a nutshell allowing fewer data scientists to do the work of many.
这也意味着数据科学家可以使用比机器学习工具更复杂的功能集。
It also means that data scientists can work with more complex feature sets than they might have with machine learning tools.
并且,更多的数据工程师和数据科学家可以用PyhtonShell访问数据来进行广告分析。
More sophisticated data engineers and data scientists can access the same data via the Python shell for ad hoc analysis.
使用SQLServer2019,数据科学家可以通过Spark作业轻松分析SQLServer和HDFS中的数据。
With SQL Server 2019, data scientists can easily analyze data in SQL Server and HDFS through Spark jobs.
现在,数据科学家可以在云上运行深度学习,而无需学习底层IT资源的使用。
Now, data scientists can run Deep Learning on the cloud without having to learn to manipulate low-level IT resources.
数据科学家可以期待这个领域在不久的将来会以新颖的方式进行转变和进化。
Data scientists can expect the field to change and evolve in novel ways in the near future.
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