What is the translation of " 于数据科学 " in English?

• data science

Examples of using 于数据科学 in Chinese and their translations into English

这也适用于数据科学。
This applies to Data Science as well.

同时需要专注于学习数据科学的技能。
We need to talk about data science skills.

专注于数据科学在业界的应用。
Interested in viable applications of data science to industry.

BigQuery也可以连接到其他用于数据科学的谷歌云服务。
BigQuery can also be connected to other GCP services for Data Science.

Python广泛应用于数据科学，Web应用程序和游戏开发。
Python is widely used in Data Science, Web Applications or Game Development.

这里我们列出了一些用于数据科学的最佳Python框架。
Here we have listed some of the best Python frameworks used for data science.

因此，它不适合基于数据科学的项目。
Therefore, it is not regarded as suitable for projects based on data science.

如何将Scikit-learnPython库用于数据科学项目.
How to use the Scikit-learn Python library for data science projects.

因此，它不适合基于数据科学的项目。
Therefore, it's not suitable for projects based on data science.

BigPanda提供基于数据科学算法的平台，专门针对IT和DevOps员工，专门用于解决警报过载问题。
BigPanda offers a data science algorithm-based platform specifically for IT and DevOps staff that is specifically geared toward addressing alert overload.

这是一个基于数据科学的原则和方法的高度模块化课程。
This is a highly modular course, based on data science principles and methodologies.

理论数据科学家致力于数据科学的理论研究，为其他的数据科学家创造框架和工具。
Theoretical Data Scientists work on the theory of data science and contribute to frameworks and tools other data scientists use.

O'ReillyStrata会议专注于数据科学与以个性化设计的交叉领域。
The O'Reilly Strata Conference focuses on the intersection between data science and human centered design.

但主要的区别在于数据科学覆盖整个数据处理，并非只是算法的或统计类分支。
But the main difference is the fact that data science covers the whole spectrum of data processing, not just the algorithmic or statistical aspects.

鉴于目前数据科学人才短缺，很多组织正在制定培养内部数据科学人才的计划。
Given the current shortage of data science talent, many organizations are building out programs to develop internal data science talent.

出于这个原因，生成器通常用于数据科学以及涉及大量数据的其他环境。
For this reason, generators are often used in data science, and other contexts involving large amounts of data..

Strata数据会议现在更侧重于数据科学和人工智能，而Hadoop峰会已经发展成为DataWorks峰会。
The Strata Data Conference is now more focused on data science and AI and the Hadoop Summit has evolved into the DataWorks Summit.

学生获得实践频繁编写代码，构建以先进的技术专注于数据科学中的应用。
Students gain frequent practice writing code, building to advanced skills focused on data science applications.

决策树、随机森林、梯度增加等方法被广泛用于各种数据科学问题。
Methods like decision trees, random forest, gradient boosting are being popularly used in all kinds of data science problems.

一开始R主要是在统计学家或学术圈内流行，但近几年被相当多的应用于数据科学。
Initially widespread mainly among statisticians or in academic environments, the use of R for data science activities has increased considerably in recent years.

博士学位柯林斯(Collins)的学生在田野和经典田野生态上度过了时光，而她的博士后研究则侧重于数据科学。
As a Ph.D. student, Collins spent time in the field and on classic field ecology, while her postdoctoral work focused on data science.

全球最大的集装箱航运公司马士基集团(Maersk)正在印度招聘200名专注于数据科学和人工智能的工程师。
Maersk, the largest container shipping company in the world, is hiring 200 people focused on data science and AI in India.

IT经理：高级IT经理负责基础设施的计划和架构设计，用于支持数据科学的运作。
IT managers: Senior IT managers are responsible for the infrastructure planning and architecture that will support data science operations.

最终，它们将为分析师提供真正的自助操作预测，而不依赖于数据科学和数据操作团队。
Eventually these should deliver truly self-service operational forecasting to analysts, without relying on Data Science and Data Ops teams.

或专注于数据科学，帮助银行分析和解读人工智能依赖的信息。
Or focus on data science, helping banks analyze and interpret the information that AI depends on..

这表明Python的增长应该主要归功于数据科学，而不是网站开发。
This suggests that much of Python's growth may be due to data science, rather than to web development.

Java对于探索性数据科学不是很好，但对于基于数据科学的大规模或生产代码来说，它是很好的。
Java isn't great for exploratory data science, but it can be great for large-scale or production code based on data science.

Python广泛应用于所有数据科学领域-包括数据分析，机器学习，深度学习和数据可视化。
Python finds a wide adoption across all spectrums of data science- including data analysis, machine learning, deep learning, and data visualization.

用于数据科学的三个最佳和最重要的Python库是NumPy，Pandas和Matplotlib。
The three best and most important Python libraries for data science are NumPy, Pandas, and Matplotlib.