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

• in machine learning
• machine-learning
• in ML

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

Patrick和他的团队现在正在试验机器学习和人工智能。
Patrick and his team are now experimenting with machine learning and artificial intelligence.

在机器学习之前，安全团队使用了更明智的工具。
Before machine learning, security teams used blunter instruments.

数据科学需要在机器学习的不同领域中应用技能。
Data science needs the application of skills in different areas of machine learning.

即使在机器学习方法里，完全自动化也是不可能的。!
But even machine learning cannot be fully automated!

在机器学习下面，有如下三个分类：.
Under machine learning, there are three categories:.

我认为他们在机器学习上应用了同样的模型。
And I think they apply the same model to machine learning.

在机器学习的世界，这就意味着抽取这些数据的特征。
In the machine learning world this means extracting features from the data.

在机器学习的研究人员中,女性的匮乏是不足为奇的。
The scarcity of women among machine learning researchers is hardly surprising.

数十亿美元的公司建立在机器学习的基础上。
Billion-dollar companies are built on machine learning.

而Berk的这项工作建立在机器学习的基础上。
Berk's work is based on machine learning.

最重要的自动化发生在机器学习领域。
Perhaps the most significant automation is occurring in the Machine Learning space.

此外，在机器学习的改进和聊天机器人的自然语言处理能力已经准备为他们更好的和有意义的对话。
Besides, the improvements in machine learning and natural language processing capability of chatbots have prepared them for better and meaningful conversations.

美国国家航空航天局也在开发机器学习应用程序来自动对图像中的特征进行分类。
NASA is also developing machine-learning applications to classify features in the images automatically.

在机器学习中，我们有一套输入变量(X)用于决定输出变量(y)。
In machine learning, we have a set of input variables(x) that are used to determine an output variable(y).

在机器学习中，大多数应用的特征需要由专家识别，然后根据域和数据类型手工编码。
In machine learning, most of the characteristics used need to be recognized by the specialist and then hand-coded as per domain and data type.

这些小数据也会汇入一个较大的数据库，在那里机器学习算法也开始能够理解图形。
These small data sets are also gulped into a large data creek where machine-learning algorithms begin to comprehend patterns.

通常来说，在机器学习中最重要的是解决整个问题而不需要去分析细节。
Often in ML the most important thing is resolving the whole story without needing to analyse the smaller details.

这些小数据也会汇入一个较大的数据库，在那里机器学习算法也开始能够理解图形。
These small data sets are also ingested into a large data lake where machine-learning algorithms begin to understand patterns.

这种方法在机器学习中已经得到了各种应用，特别是图形模型，如隐马尔可夫模型、贝叶斯网络和马尔可夫网络。
This idea has been applied in various ways in ML, especially for graphical models, such as hidden Markov models, Bayesian networks and Markov networks.

我们去年跟《连线》合作分析了人才池的情况，试图弄清楚女性在机器学习研究人员的占比。
In a collaboration last year with Wired, we analyzed the talent pool to try to see what proportion of machine-learning researchers were women.

在机器学习中，我们经常使用“黑盒子”方法-[也叫做分类算法]、随机森林或更深入的学习方法。
In machine learning, we often use“black-box” methods-[classification algorithms called] random forests, or deeper learning approaches.

骑士着陆已经在机器学习测试，Wuischpard说，声称它比的GPU提供更好的性能。
Knights Landing is already being tested in machine learning, Wuischpard said, claiming it is delivering better performance than GPUs.

在机器学习中，“groundtruth”一词指的是训练集对监督学习技术的分类的准确性。
In machine learning, the term"ground truth" refers to the accuracy of the training set's classification for supervised learning techniques.

在机器学习中，这种方法-使用标记的示例来创建可以标记新数据的模型-称为监督学习。
In machine learning, this approach- using labeled examples to create a model that can then label new data- is called supervised learning..

我们还在机器学习、内容分发效率和广告系统升级方面取得进展，这些进一步推动了微博业务的强劲增长。
We have also made progresses in machine learning capability, content distribution efficiency and advertising system upgrade, which further fueled the strong growth of Weibo.

通过beta测试和早期部署，球队正在探索在机器学习与隐私有关的，偏见，问责制和透明度的问题。
Through beta testing and early deployments, the team is exploring issues related to privacy, bias, accountability, and transparency in machine learning.

在机器学习中，“groundtruth”一词指的是训练集对监督学习技术的分类的准确性。
In machine learning, the term“ground truth” refers to the accuracy of a training set's classification for supervised learning techniques.