机器学习和深度学习 - 翻译成英语

• machine learning and deep learning

在 中文 中使用 机器学习和深度学习 的示例及其翻译为 英语

然而，机器学习和深度学习模式的推出与大多数技术推广的过程有所不同。
The rollout of machine learning and deep learning models, however, is a different process than most technology rollouts.

本课程涵盖汽车行业的AI（强调机器学习和深度学习）。
This course covers AI(emphasizing Machine Learning and Deep Learning) in Automotive Industry.

AI结合了机器学习和深度学习等技术，能够不断重新定义计算模型，从而完善自身。
AI combines techniques such as machine learning and deep learning to constantly redefine its models and thus, to refine itself.

在机器学习和深度学习领域，几乎每一次突破都以神经网络模型为核心。
Almost every breakthrough happening in the machine learning and deep learning space right now has neural network models at its core.

最后，我们把可解释性作为机器学习和深度学习比较的一个因素。
Last but not the least, we now have interpretability as a factor for comparison of machine learning and deep learning.

机器学习和深度学习的实施为PCB制造商提供了超越人类理解的能力；.
The implementation of machine learning and deep learning provides PCB manufacturers with the ability to transcend human understanding;

梯度下降是机器学习和深度学习中最常用的优化算法。
Gradient Descent is the most common optimization algorithm in machine learning and deep learning.

现在你已经了解机器学习和深度学习的概念了，我们接着将会花点时间来比较这两种技术。
Now that you have understood an overview of Machine Learning and Deep Learning, we will take a few important points and compare the two techniques.

人工智能、机器学习和深度学习相互关联，但又建立在不同的抽象层。
Artificial intelligence, machine learning, and deep learning are interrelated, but built on different layers of abstractions.

该技术及其相关技术（例如机器学习和深度学习）在每个行业中都有大量应用。
This technology along with its related technologies like machine learning and deep learning has numerous applications in every industry.

在实际的层面上，你可以用机器学习和深度学习来做的事情是相当惊人的。
On a practical level, what you can do with machine learning and deep learning is quite astounding.

人工智能有许多成功，如机器学习和深度学习，没有人否认这一点，但我们不应满足于此。
Artificial intelligence has a lot of successes, like machine learning and deep learning, and nobody denies this, but we shouldn't be satisfied by this.

梯度下降是机器学习和深度学习中最常用的优化算法。
Gradient descent is the most commonly used optimization method deployed in machine learning and deep learning algorithms.

机器学习和深度学习带来的那种颠覆早已从软件堆栈扩大到了芯片、服务器和云服务提供商。
The disruption created by machine learning and deep learning extends well beyond the software stack into chips, servers and cloud providers.

这是一份机器学习和深度学习教程，文章和资源的清单。
This is a curated list of machine learning and deep learning tutorials, articles, and resources.

该技术及其相关技术（例如机器学习和深度学习）在每个行业中都有大量应用。
This technology along with other emerging technologies like machine learning and deep learning has a large number of applications in every industry.

如果你对这些系统的细节感兴趣，你可以从Toptal博客文章中了解更多有关机器学习和深度学习的内容。
If you're interested in details about these systems, you can learn more from the Toptal blog posts on machine learning and deep learning.

人工智能营销是一种广告模式，它使用人工智能的改进，如机器学习和深度学习，向客户推销。
Artificial intelligence marketing is a mode of advertising that uses AI advancements like machine learning and deep learning to market to customers.

数据清洗和特征工程是数据准备的一部分，也是机器学习和深度学习应用的基础。
Both data cleansing and feature engineering are part of data preparation and fundamental to the application of machine learning and deep learning algorithms.

服务提供商可能依赖于人工智能和其他形式的认知学习能力，如机器学习和深度学习。
The service providers may possibly rely on artificial intelligence and other forms of cognitive learning capabilities, like machine learning and deep learning.