What is the translation of " MACHINE LEARNING APPLICATIONS " in Chinese?

• 机器学习应用
• 的机器学习应用程序

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

Machine learning applications: How they work.
下一篇：机器学习应用程序：它们如何工作.

Understanding these drawbacks is vital for successful machine learning applications.
了解这些缺点对于机器学习应用程序的成功是至关重要。

So, what are the machine learning applications in information security?
那么，信息安全中的机器学习应用程序是什么呢?

Nvidia uses this technology in its graphics cards, for example, to help with deep learning and 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。

Chris Wiggins- Machine learning applications for the study of biological problems;
克里斯·威金斯-机器学习应用程序的生物学问题的研究;

Programmable logic is especially appealing for accelerating machine learning applications that need frequent updates.
可编程逻辑对于加速需要频繁更新的机器学习应用程….

Machine learning applications rely on enormous data sets created by mobile devices, internet connectivity and social media.
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。

This type of architecture is suitable for machine learning applications, such as neural networks.
这种类型的架构适用于机器学习应用，如神经网络。

Some machine learning applications involve training data that is sensitive, such as the medical histories of patients in a clinical trial.
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。

As cities continue to innovate in the big data realm, machine learning applications are increasing and converging with the IoT.
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。

The Apache Mahout project's goal is to build an environment for quickly creating scalable performant 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。

Each of these advanced machine learning applications in McAfee solutions consider:.
McAfee解决方案中的机器学习应用程序需要考虑：.

First, the Gaussian case described above is important, as the normal distribution is a very common modeling choice in machine learning applications.
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。

This need often arises in machine learning applications such as recommendation engines, or in ranking systems.
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。

According to its website, the Mahout project's goal is"to build an environment for quickly creating scalable performant machine learning applications.".
据官方网站声称，Mahout项目的目的是“为迅速构建可扩展、高性能的机器学习应用程序打造一个环境。

These new features can enable machine learning applications that we believe are not available on classical systems.
这些新功能可以实现我们认为在经典系统上无法使用的机器学习应用程序.

As machine learning applications gradually enter our lives, understanding and explaining their behavior becomes increasingly more important.”.
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。

Mahout is an open-source framework designed for building scalable machine learning applications, it has three prominent features listed below:.
Mahout是一个开源框架，设计用于构建可拓展的机器学习应用程序，它有以下三个显著的特点：.

As machine learning applications slowly enter our lives, understanding and clarifying their conduct turns out to be progressively more imperative.
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。

Mahout is an open-source framework designed for building scalable machine learning applications, it has three prominent features listed below:.
Mahout是一种开源框架设计工具，用于构建可扩展的机器学习应用程序，它拥有如下三大功能：.

We see, with machine learning applications, the healthcare and medicine segment can advance into a new realm and completely transform healthcare operations.
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。

Facebook, Baidu, Amazon and others are using clusters of GPUs in machine learning applications that come under the aegis of deep neural networks.
Facebook，百度、亚马逊和其他一些公司正在使用的GPU集群来研究深层神经网络相关的机器学习应用程序。

For a lot of machine learning applications, it really helps us to develop effective learning algorithms, if we can understand our data better.
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。

Ascension said in a statement the agreement would also explore artificial intelligence and machine learning applications to help improve clinical effectiveness, along with patient safety.
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。

Developing successful machine learning applications requires a substantial amount of“black art” that is hard to find in textbooks.
然而，开发成功的机器学习应用程序需要大量难以在教科书中找到的“黑色艺术”。

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.
例如，机器学习应用可以使用智能功能捕获和分析大量关于客户行为的数据，并进行实时调整和学习。

However, developing successful machine learning applications requires a substantial amount of"black art" that is hard to find in textbooks.
然而，开发成功的机器学习应用程序需要大量的“黑色艺术”，这在教科书中很难找到。

Though, developing effective machine learning applications need a considerable amount of“black art” that is not that easy to find in manuals.
然而，开发成功的机器学习应用程序需要大量难以在教科书中找到的“黑色艺术”。

However, developing successful machine learning applications requires a substantial amount of"black art" that is hard to find in textbooks.
尽管如此，开发出成功的机器学习应用程序还需要大量的“黑科技”，而这些是在课本中找不到的。

However, developing successful machine learning applications requires quite some“black art” that is hard to find in text books or introductory courses on machine learning..
然而，开发成功的机器学习应用程序需要大量的“黑色艺术”，这在教科书中很难找到。