Examples of using
机器学习和数据
in Chinese and their translations into English
{-}
Political
Ecclesiastic
Programming
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.
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 themost 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 growand 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 analysisand will require their own new data management efforts.
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 KaggleLearn 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.
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