These workloads can consist of validation and test of machine learning applications and models which execute high-end credit checks.
今天,机器学习应用程序的许多飞跃都是由人和机器的协作网络支撑的。
Today, many great leaps forward in machine learning applications are underpinned by collaborative networks of humans and machines..
这就是亚马逊SageMaker的设计思路和目的:构建机器学习应用程序远没有创建一个网站那么复杂。
That was the idea behind Amazon's SageMaker, which is designed to make building machine-learning apps not much more complicated than creating a website.
苹果甚至还推出了新的软件工具包CoreML,它可以更快地处理机器学习应用程序中收集的大量数据。
There was even a new software toolkit, CoreML, that will allow faster processing of large amounts of data collected during machine learning applications.
Despite incredible recent advances in machine learning, building machine learning applications remains prohibitively time-consuming and expensive for all but the best-trained, best-funded engineering organizations.
为什么要使用IBMPowerSystems执行机器学习应用程序??
Why should you use IBM Power Systems for Machine Learning applications?
在整个过程中,在离散事件系统和机器学习应用程序将被强调。
Throughout the course, applications in discrete event systems and machine learning will be emphasized.
Last year, the U.S. Food and Drug Administration(FDA) approved the first machine learning application for healthcare: The Arterys Cardio DL.
人工智能和机器学习应用程序代表了嵌入式处理器的下一个重大市场机遇。
AI and machine learning(ML) applications represent the next big market opportunity for embedded processors.
这将形成一个长期的趋势,将不断发展和扩大人工智能和机器学习应用程序和服务的应用。
This would form a long-term trend, which constantly develops and increases the use of AI and machine learning for applications and services.
这将形成一个长期的趋势,将不断发展和扩大人工智能和机器学习应用程序和服务的应用。
This will form a long-term trend that will continually evolve and expand the application of AI and machine learning for apps and services.
为什么量子计算非常适合人工智能和机器学习应用程序,以及量子计算机如何被用作“人工智能协处理机”.
Why Quantum Computing is well suited to AI and machine learning applications, and how quantum computers may be used as'AI co-processors'.
下一篇:机器学习应用程序:它们如何工作.
Machine learning applications: How they work.
克里斯·威金斯-机器学习应用程序的生物学问题的研究;
Chris Wiggins- Machine learning applications for the study of biological problems;
它提供了用于开发机器学习应用程序的出色库和技术的绝佳集合。
It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.
现在,机器学习应用程序可以完成人力资源经理和小企业主没有时间完成的所有琐碎任务。
Now, machine learning apps can do all the mundane tasks that HR managers and small business owners don't have to time for.
所以问题是:我们在机器学习应用程序中会看到什么样的性能影响?
So the question is: what performance hit will we see in machine learning applications?
基础设施和工具将围绕简化和自动化在企业范围内构建和部署机器学习应用程序的过程而不断发展。
Infrastructure and tooling will continue to evolve around efforts to streamline and automate the process of building and deploying machine learning apps at enterprise scale.
我们的技术现在已经足够灵活,可以访问这些庞大的数据集,以快速推进AI和机器学习应用程序。
Our automation is now agile enough to access these giant datasets to quickly evolve AI and machine-learning applications.
如你所知,机器学习应用程序通常由不同编程语言编写的元素组成,而这些元素往往不能很好地进行交互。
As you may know, ML applications often comprise of elements written in different programming languages that don't always interact well with each other.
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