What is the translation of " 机器学习 " in English?

• machine learning

Examples of using 机器学习 in Chinese and their translations into English

或者开始用机器学习来构建未来。
Or maybe begin building the future with machine learning.

探索机器学习的全景图，特别是神经网络。
Explore the machine learning landscape, particularly neural nets.

人工智能是一个比机器学习更广泛的概念。
Artificial Intelligence is a concept much broader than Machine Learning.

您是说出现了一种抛弃机器学习的趋势吗？?
Are you suggesting there's a trend developing away from machine learning?

但我们可以稍后讨论机器学习渠道。
We can discuss the machine learning process.

大数据能帮机器学习。
Big data can assist in machine learning.

当然，‘Silicon60'涉及的范围比机器学习更广泛。
Of course, the Silicon 60 is broader than machine learning.

为了用机器学习破解剪接规则，我们的团队与优秀实验生物学家BenjaminBlencowe领导的团队合作。
To crack splicing regulation using machine learning, my team collaborated with a group led by an excellent experimental biologist named Benjamin Blencowe.

尽管取得了进展，但企业运用机器学习的一个主要障碍仍然存在，那就是缺乏具有AI知识的工人。
Despite the progress, a major barrier to machine learning adoption remains for enterprises, however: the lack of workers with AI know-how.

如前所述，许多专业数据科学家选择使用开源机器学习工具，如TensorFlow，ApacheSpark的MLlib或Caffe。
As already mentioned, many professional data scientists choose to use open source machine learning tools, such as TensorFlow, Apache Spark's MLlib or Caffe.

TensorFlow2.0是谷歌开源机器学习框架的下一个主要版本，将于2018年末推出其首个测试版。
TensorFlow 2.0, the next major version of Google's open source machine learning framework, will see its first beta version in late 2018.

Datumbox是一个用Java编写的开源机器学习框架，允许快速开发机器学习和统计应用。
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

今年早些时候，科学家用机器学习发现了眼球运动和个人人格特征之间的联系。
The scientists used machine learning to discover a link between eye movements and the personality of a person earlier this year.

尽可能的避免数据运动是加快机器学习的一种常用方法，但Graphcore以这种方式到达另一个层次。
Avoiding data movement whenever possible is a common approach to speeding up machine learning, but Graphcore is taking that approach to another level.

奥图尔说，自2014年面部识别通过机器学习取得了进展“的飞跃改变了一切。
O'Toole said the progress made by machine learning for facial recognition since 2014 has“changed everything by quantum leaps.”.

提供多种产品，包括云存储和数据库，云虚拟网络和云机器学习引擎等。
The cloud provider offers a variety of products, including cloud storage and databases, cloud virtual networks and a cloud machine learning engine.

畅想存在大量ML加速的未来并开发符合这一预期的新机器学习模型.
Imagine a future in which ML acceleration is abundant and develop new kinds of machine learning models in anticipation of that future.

Ultra-personalized经验--每个人将享受“偏好指数”,增强大数据预测和精炼时间通过机器学习的方法。
Ultra-personalized experiences- each person will enjoy a“predilection index”, augmented by Big Data projections and refined in time by means of machine learning methods.

年不会是区块链和加密货币的年份，但将是AI和机器学习的一年.
Will not be the year for blockchain and crypto, but it will be a year for AI and machine learning.

如果没有考虑到实际的潜力和严重的局限性，谁都很容易误解和误用机器学习。
By failing to consider its realistic potential-- and serious limitations-- it's easy for anyone to misunderstand and misapply machine learning.

在2016年，谷歌大脑开启了GoogleBrainResidency计划，该计划旨在指导哪些想学习机器学习研究的人。
In 2016, we started the Google Brain Residency, a program for mentoring people who wanted to learn to do machine learning research.

Google宣布推出一项名为DevelopersLaunchpadStudio的、为期六个月的新计划，旨在支持全球的AI和机器学习的初创公司。
Google today announced a new six-month program called Developers Launchpad Studio, created to support AI and machine learning startups around the world.

NNI（神经网络智能）是一个帮助用户运行自动机器学习（AutoML）实验的工具包。
(From github) NNI(Neural Network Intelligence) is a toolkit to help users run automated machine learning(AutoML) experiments.

自Google于2015年将TensorFlow开源化以来，它已成为GitHub上排名第一的机器学习社区，堪称机器学习工具包的代名词。
Since Google open-sourced it in 2015, TensorFlow has become the 1 machine learning community on GitHub, and the de facto machine learning toolkit.

该书覆盖机器学习领域的基础现代话题，同时提供讨论和算法证明所需的理论基础与概念工具。
It covers basic modern themes in machine learning when providing the theoretical foundation and conceptual tools required for the discussion and rationale of calculations.

研究人员写道，这并不是说机器学习的新发展不会对未来的就业和经济产生更广泛的影响。
That's not to say new developments in machine learning couldn't have a wider impact on jobs and the economy in the future.

研究人员已经清楚地记录了多年来机器学习和人工智能技术的进步。
Researchers have clearly documented advances in machine learning and AI over the years.

由于人工智能机器学习，我们甚至能够预测自然灾害对电力系统的影响。
We may even be able to anticipate the effects of natural disasters on power systems thanks to AI machine learning.

也许机器学习最引人注目的方面是它看似无限的适用性。
The most compelling thing about Machine Learning is its seemingly limitless applicability.

技术公司知道机器学习和计算机视觉，但是不懂造车。
The tech firms know about machine learning and computer vision, but not making cars.