Examples of using
机器学习应用
in Chinese and their translations into English
{-}
Political
Ecclesiastic
Programming
构建首个机器学习应用.
Create your first machine learning application.
随着机器学习应用逐渐进入我们的生活,理解和解释他们的行为变得越来越重要。
As machine learning applications gradually enter our lives, understanding and explaining their behavior becomes increasingly more important.”.
有些机器学习应用涉及敏感的训练数据,例如临床试验中患者的医疗史。
Some machine learning applications involve training data that is sensitive, such as the medical histories of patients in a clinical trial.
确定在汽车和移动出行领域开发各种适合机器学习应用时,OEM应该考虑几个方面:.
In determining the appropriateness of developing various machine-learning application areas in automotive and mobility, OEMs should consider a few aspects:.
机器学习应用需要大量的处理能力,而提供这种功率级别的系统在传统上非常昂贵。
ML applications require a lot of processing power, and the systems that provide that level of power have traditionally been very expensive.
Machine learning applications, for instance, use smart capabilities to capture and analyze vast amounts of data on customer behaviors, adapting and learning in real time.
任何数据都可以被翻译成这些简单的概念,任何机器学习应用,包括人工智能,都将这些概念作为其构建基础。
ANY DATA can be translated into these simple concepts and any machine-learning application, including artificial intelligence, uses these concepts as its building blocks.
在开始构建机器学习应用之前,从众多选项中选择一项技术可能是一项艰巨的任务。
Before starting to build a machine learning application, selecting one technology from the many options out there can be a difficult task.
更糟糕的是,开发机器学习应用不是一次性的过程:数据随时间而变化,因此模型和系统必须适应。
To make things worse, developing ML applications is not a one-shot process: data changes over time, and therefore models and systems must adapt.
我们看到,通过机器学习应用,医疗保健和医药领域可以进入新的领域,彻底改变医疗行业。
We see, with machine learning applications, the healthcare and medicine segment can advance into a new realm and completely transform healthcare operations.
机器学习应用依赖由移动设备、互联网连接和社交媒体所创建的巨大的数据集。
Machine learning applications rely on enormous data sets created by mobile devices, internet connectivity and social media.
在开始构建机器学习应用之前,从众多选项中选择一项技术可能是一项艰巨的任务。
Before initiating the machine learning application, the selection of one technology from many options is a difficult task.
因此,数据的预处理是任何机器学习应用中最关键的步骤之一。
Data preprocessing is one of themost critical steps in all machine learning application.
随着城市在大数据领域的不断创新,机器学习应用不断增加并与物联网融合。
As cities continue to innovate in the big data realm, machine learning applications are increasing and converging with the IoT.
对于大多数的机器学习应用,它真的可以帮助我们来开发高效的学习算法,但前提是我们能更好地理解数据。
For a lot of machine learning applications, it really helps us to develop effective learning algorithms, if we can understand our data better.
随着机器学习应用逐渐进入我们的生活,理解和解释他们的行为变得越来越重要。
As machine learning applications slowly enter our lives, understanding and clarifying their conduct turns out to be progressively more imperative.
这种需求经常出现在机器学习应用(如推荐引擎)或排序系统中。
This need often arises in machine learning applications such as recommendation engines, or in ranking systems.
这种类型的架构适用于机器学习应用,如神经网络。
This type of architecture is suitable for machine learning applications, such as neural networks.
Ascension表示,此次合作还将包括探索人工智能和机器学习应用,以帮助提高临床效果和患者安全。
Ascension said in a statement the agreementwould also explore artificial intelligence and machine learning applications to help improve clinical effectiveness, along with patient safety.
首先,上面描述的高斯分布的例子是很重要的,因为在机器学习应用中,高斯分布是一个很常见的建模选择。
First, the Gaussian case described above is important, as the normal distributionis a very common modeling choice in machine learning applications.
比如,英伟达就在其显卡中使用了这项技术来助力深度学习和机器学习应用。
Nvidia uses this technology in its graphics cards, for example,to help with deep learning and machine learning applications.
ApacheMahout项目的目标是建立一个能够快速创建可扩展、高性能机器学习应用的环境。
Apache Mahout project's goal is to build anenvironment for quickly creating scalable performant machine learning applications.
Bayes夏季课程中,授课人将讨论贝叶斯方法如何结合深度学习,并在机器学习应用中实现更好的结果。
Bayes summer school, we will discuss how Bayesian Methods can be combined with Deep Learning andlead to better results in machine learning applications.
这种扩展芯片组为科学和机器学习应用提供了一些优势。
This extended chipset provides some advantages for scientific and machine learning applications.
今天,大多数网络设计活动都在云端,其中大部分都是由AI和机器学习应用驱动的。
Today, the majority of networking design activity is in the cloud, much of which isis being driven by artificial intelligence and machine learning applications.
我们平台的独特设计旨在赋能快速增长的数据科学社区和机器学习应用。
Our platform is uniquely designed to enable therapidly growing data science community and machine learning applications.
经济学家们一直在研究机器学习应用,不仅是为了获得更好的预测,但也包括政策目标。
Economists have been looking into machine learning applications not only to obtain better prediction, but also for policy targeting.
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