What is the translation of " 机器学习和数据科学 " in English?

machine learning and data science
machine learners and data scientists

Examples of using 机器学习和数据科学 in Chinese and their translations into English

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机器学习和数据科学是复杂而相互关联的概念。
Machine learning and data science are a complicated and involved set of interconnected concepts.
机器学习和数据科学女性.
Women in Machine Learning and Data Science.
回归分析是机器学习和数据科学的基础。
Regression analysis is the foundation of machine learning and data science.
机器学习和数据科学的新模式可能即将出现。
A new model for Machine Learning and Data Science might be on the horizon.
机器学习和数据科学人才将继续从学术机构向谷歌那样的大公司流动,目的就是为了能使用所有这些数据。
Machine learning and data science talent will continue to move from academia to big companies like Google for access to all that data..
究竟,机器学习和数据科学工作者应该做什么:看数据,而不是观点。
This is what machine learners and data scientists should do: look at data, not.
机器学习和数据科学被看作是下一次工业革命的驱动器。
Machine learning and data science are being looked as the drivers of the next industrial revolution happening in the world today.
第三,机器学习和数据科学是下一代分析技术,需要各自做好新的数据管理工作。
Third, machine learning and data science are the next generation of analytic analysisand will require their own new data management efforts.
机器学习和数据科学市场,Python,Java,和R的招聘需求最大;.
In the machine learning and data science markets, Python, Java, and R have the greatest recruitment needs;
这不是一门硬核机器学习和数据科学课程,我邀请任何对该主题感兴趣的必威体育下载人参加。
This is not a hard-core Machine Learning and data science course and I invite anyone with an interest in the topic to participate.
有充分的理由相信,机器学习和数据科学专业人士现在正享受着经济中增长最快的就业市场。
There are already good reasons to believe that machine learning and data science professionals are enjoying the fastest-growing jobs market in the economy right now.
为方便起见,我们准备了用Scala执行机器学习和数据科学任务的最重要程式库的全面概述。
For your convenience, we have prepared a comprehensive overview of themost important libraries used to perform machine learning and Data Science tasks in Scala.
我们已看到许多公司在全面增加机器学习和数据科学方面的预算。
We have seen companies across the board increase their budgets in machine learning and data science.
第三,机器学习和数据科学是需要新数据管理的下一代分析技术。
Third, machine learning and data science are the next generation of analytic analysisand will require their own new data management efforts.
任何希望将自动化数据分析、机器学习和数据科学纳入其工作的人。
Anyone who wishes to incorporate automated data analysis, machine learning and data science into their work.
在我的工作中使用了机器学习和数据科学:我可以在Stack.
Machine learning and data science are used in my work: I can be there. Stack.
Sentient公司对机器学习和数据科学的运用不仅局限于金融-还把科技应用在其他行业。
Sentient's use of machine learning and data science isn't restricted to finance- it also applies its technologies to other sectors.
在过去的三年中,KathleenSiminyu一直在肯尼亚内罗毕的机器学习和数据科学女性分部工作。
For the past three years,Kathleen siminyu has worked in the womens division of machine learning and data science in Nairobi, Kenya.
JupyterNotebook是一个基于Web的交互式工具,机器学习和数据科学社区都频繁使用它。
Jupyter Notebooks are a web-based and interactive tool that the machine learning and data science community uses a lot.
凭借10亿美元的资金,麻省理工学院将建立一个新学院,将人工智能、机器学习和数据科学与其他学科相结合。
With $1 billion in funding,MIT will create a new college that combines AI, machine learning and data science with other academic disciplines.
Kaggle于2018年10月对23,859名数据专业人员进行了全球调查(2018年机器学习和数据科学原始调查数据下载链接)。
Kaggle conducted a worldwide survey inOctober 2018 of 23,859 data professionals(2018 Machine Learning and Data Science Survey).
Kaggle于2018年10月对23,859名数据专业人员进行了全球调查(2018年机器学习和数据科学原始调查数据下载链接)。
Kagle surveyed 23,859 data professionals(2018 Machine Learning and Data Science Survey) worldwide in October 2018.
这表现出,最近一年里业界对机器学习和数据科学整体的兴趣和重视。
This demonstrates the industry's interest and focus on machine learning and data science as a whole in the last year.
人工智能,机器学习和数据科学难题:谁将管理算法??
The AI, machine learning, and data science conundrum: Who will manage the algorithms?
Julia将成为一种流行机器学习和数据科学编程语言吗?
Will Julia turn into one of the popular languages for machine learning and data science?
针对机器学习和数据科学的工作,Python,Java和R是最受欢迎的技能。
In the machine learning and data science markets, Python, Java, and R have the greatest recruitment needs;
(注意,你应该有一些机器学习和数据科学的基础,这样才能感受到该平台提供的好处)。
(Note that you should have some knowledge of machine learning and data science to truly benefit from using this platform.).
这被称为过拟合,也是机器学习和数据科学中的常见问题。
This is known as overfitting, and it's a common problem in machine learning and data science.
随着机器学习和数据科学的出现,系统还可能包括决策支持、机器学习研究和数据挖掘项目。
With the advent of machine learning and data science, systems may also include decision support, machine-learning research and data mining projects.
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