机器学习和数据 英语是什么意思 - 英语翻译

• machine learning and data
• machine learners and data

在 中文 中使用 机器学习和数据 的示例及其翻译为 英语

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.

自然，机器学习和数据挖掘社区开始走到一起。
Naturally, the machine learning and data mining com- munities started to come together.

该行业正愈来愈多地使用机器学习和数据分析来识别恶意软件及其入侵，但这些系统也非常容易受骗。
The industry is increasingly using machine learning and data analytics to identify malware and detect intrusions, but these systems are also highly susceptible to trickery.

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..

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 analysis and will require their own new data management efforts.

ApacheMahout：Mahout提供了一个用于机器学习和数据挖掘的预制算法库，也可用作创建更多算法的环境。
Apache Mahout: Mahout provides a library of pre-made algorithms for machine learning and data mining and also an environment to create more algorithms.

在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 the most important libraries used to perform machine learning and Data Science tasks in Scala.

机器学习和数据分析会继续发展壮大，改变我们今天所熟悉的IT行业的面貌。
Machine learning and data analytics are going to continue to grow and change the face of the IT industry as we know it today.

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 analysis and will require their own new data management efforts.

AstroML是一个用于机器学习和数据挖掘的Python模块，它基于numpy，scipy，scikit-learn和matplotlib构建。
AstroML AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib, and astropy.

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.

完成后，请前往KaggleLearn快速了解该语言的基础知识，机器学习和数据可视化技术。
Once you have done that, head over to Kaggle Learn to quickly understand the basics of that language, machine learning and data visualisation techniques.

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.

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 in October 2018 of 23,859 data professionals(2018 Machine Learning and Data Science Survey).

用于提供顺畅支付体验的技术包括代币化、传感器融合、摄像头、机器学习和数据分析。
The technologies used to deliver frictionless payment experiences include tokenization, sensor fusion, cameras, machine learning and data analytics.

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.

它大量涉及概率和统计，机器学习和数据可视化。
It gets involved heavily in probability& statistics, machine learning, and data visualization.

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?

许多印度公司目前正在培训员工的数字化技能，如云计算、机器学习和数据分析等。
Many Indian companies are currently training their employees in digital skills such as cloud computing, machine learning, and data analytics.

Python的科学栈相当成熟，各种应用场景都有相关的模块，包括机器学习和数据分析。
The Python scientific stack is fairly mature, and there are libraries for a variety of use cases, including machine learning, and data analysis.

许多公司目前的“前沿”机器学习和数据分析就是实施监督学习，或黑箱建模。
Many companies on the current“cutting-edge” of machine learning and data analytics are implementing supervised learning, or black-box modeling.