MACHINE LEARNING TECHNOLOGY in Chinese translation

[mə'ʃiːn 'l3ːniŋ tek'nɒlədʒi]
[mə'ʃiːn 'l3ːniŋ tek'nɒlədʒi]

Examples of using Machine learning technology in English and their translations into Chinese

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UAC uses Google's machine learning technology to evaluate numerous signals in real time, refining each ad to help you reach your most engaged users.
UAC利用Google的机器学习技术,实时评估多种信号,优化每个广告,帮助您打动最活跃的用户。
Google uses the machine learning technology in more than 100 areas so far and clearly hopes AI will power compelling new services.
Google已将机器学习技术运用到了超过100个领域,并希望AI能够部署到全新的服务场景。
Amazon Machine Learning enables you to use powerful machine learning technology without requiring an extensive background in machine learning algorithms and techniques.
借助AmazonMachineLearning,您可以使用强大的机器学习技术而无需在机器学习算法和技术领域拥有深厚的背景。
Deep learning will continue to be the most important machine learning technology in 2018.
同时,深度学习将继续成为2018年最重要的机器学习技术
That's a big reason why Herlihy is cultivating a data lake, using Microsoft's Azure machine learning technology to refine the personal messaging.
这就是为什么Herlihy正在发展数据湖,使用微软Azure机器学习技术来改善个人信息。
Inspired user interface design is hard, and I expect many companies will take powerful machine learning technology and use it to build insipid user interfaces.
启发式用户接口设计非常困难,我期望有更多的公司会使用强大的机器学习技术来构建无聊的用户接口。
Using machine learning technology, the experts developed a special application and gave it to 45 participants who were told to enter some PIN codes and passwords.
使用机器学习技术,专家们开发了一个特殊的应用程序,并将其交给45名参与者,他们被告知输入一些PIN码和密码。
OWKIN uses machine learning technology to integrate biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes.
同时,OWKIN致力于使用机器学习技术,整合生物医学图像、基因组学及临床数据,从而发现与疾病和治疗结果相关的生物标志物和机制。
Allo's"Smart reply" feature uses Google's machine learning technology to suggest a reply to the last message, which can be selected from a few options.
通过Google的机器学习技术,Allo的“智能回复”功能在收到消息后将提供几个推荐的回复选项,用户可以从中选择一个答复。
Using improved machine learning technology, they were able to identify and terminate almost one million bad advertiser accounts, nearly double the amount terminated in 2017.
利用更先进的机器学习技术,我们识别并移除了将近100万个不良广告主账户,这个数字是2017年的近两倍。
It's still early days for adoption though a recent study by consultancy Deloitte reported that only 8% of enterprises use machine learning technology today.
不过机器学习仍处于采用的早期阶段:咨询公司德勤最近开展的一项调查声称,如今只有8%的企业使用机器学习技术
Zingbox's cloud-based service uses AI and machine learning technologies to help organizations discover, identify, secure, and optimize connected devices.
根据资料显示,Zingbox云服务采用AI和机器学习技术,可助力机构发现、识别、防护并优化联网设备。
Explore how companies are using blockchain, the IoT, and machine learning technologies to solve specific problems- and uncover new business models in the process.
了解企业如何利用区块链、物联网和机器学习技术解决具体问题,并从中发现新的业务模式。
Find out Gartner's definitions, analysis, advice, and projected business impacts of more than 25 data science and machine learning technologies.
认识Gartner对25种数据科学和机器学习技术的定义、分析、建议和预测的业务影响。
The internet of things, big data and machine learning technologies are shaping the next generation of business applications.
物联网,大数据和机器学习技术正在塑造下一代商业应用。
For machine learning technologies to achieve their full potential, we have to understand how machine learning works in the presence of adversaries.
为了让机器学习技术充分发挥潜力,我们必须了解机器学习在对手面前是如何工作的。
That is exactly the kind of profound impact that artificial intelligence(AI) and Machine Learning technologies are having on the world right now.
这正是人工智能(AI)和机器学习技术目前对世界产生的深远影响。
Today, IBM scientists are using machine learning technologies to understand the behaviors of mobile devices on a network in order to assess potential risk.
今天,IBM的科学家正在使用机器学习技术来分析移动网络用户行为,从而评估其网上行为潜在的风险。
Data science, AI, NLP, machine learning technologies are increasingly being adopted across business sectors.
数据科学,AI,NLP,机器学习技术正在越来越多地被各部门收养业务.
As artificial intelligence(AI) and machine learning technologies become more and more sophisticated in the future, the IoT platform will provide powerful business analysis functions.
随着人工智能(AI)和机器学习技术在未来变得越来越复杂,物联网平台将提供强大的业务分析功能。
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