machine learning

双语例句

1. Machine learning is now capable of far, far more complex tasks.
机器学习现在能够完成极其复杂的任务。

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2. My company, Kaggle, operates on the cutting edge of machine learning.
我的公司Kaggle 在机器学习领域处于领先地位。

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3. Machine learning started making its way into industry in the early 90s.
机器学习在90年代早期开始进入工业领域。

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4. Machine learning started making its way into the industry in the early 90s.
机器学习在90年代早期开始进入工业领域。

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5. Machine learning is the technology that's responsible for most of this disruption.
机器学习是造成这种混乱的主要原因。

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6. The fundamental limitation of machine learning is that it needs to learn from large volumes of past data.
机器学习的基本限制在于，需要从大量过去的数据中学习。

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7. "Machine learning often provides a more reliable form of statistics which makes data more valuable," says Winston.
温斯顿说：“机器学习往往提供更可靠的统计形式，使数据更有价值。”

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8. This usually results in a failure of a product, which leads to skepticism from the market and delivers a blow to the integrity of Machine Learning technology.
通常，这会导致产品出故障，引起市场怀疑，对机器学习的完整性造成打击。

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9. There is huge potential for artificial intelligence and machine learning to revolutionize agriculture by integrating these technologies into critical markets on a global scale.
人工智能和机器学习有巨大的潜力，可以通过将这些技术整合到全球的关键市场来彻底改变农业。

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10. Therefore, a new discipline blending computer science, programming, statistics and machine learning should be added to the traditional foundational topics of mathematics and physics.
因此，在传统的数学和物理基础课题之外，应该增加一门融合了计算机科学、编程、统计学和机器学习的新学科。

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11. His program USES a strategy called "machine learning."
提苏尔发明的程序利用了一种名为“机器学习”的计算机策略。

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12. Several approaches to machine learning are used to solve problems.
可以采用一些机器学习方法来解决问题。

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13. We use Clojure for the data processing and machine learning research.
我们使用Clojure来进行数据处理和机器学习研究。

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14. Log file analysis is a hot topic in machine learning and monitoring tools.
日志文件分析在机器学习和监控工具领域是一个非常热门的主题。

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15. The analytical work involves applying statistical inference and machine learning techniques.
其分析工作涉及到统计推断及机器学习技术的应用。

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16. Integration of separate fields such as speech, vision, robotics, sensors and machine learning.
语音、视觉、机器人学、传感器和机器学习等不同学科的融合。

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17. Machine learning USES run the gamut from game playing to fraud detection to stock-market analysis.
机器学习可以应用于各种目的，从游戏、欺诈检测到股票市场分析。

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18. In machine learning, the data is often represented as a vector, sometimes called a feature vector.
在机器学习中，数据通常被表示为矢量，有时也称作特征矢量。

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19. But after that, algorithms designed by machine learning experts, set the temperature automatically.
不过此后，由机器学习方面专家所设计的算法就能接班，开始自动设定温度。

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20. Every week they recompute their machine learning models for categories in a science Hadoop cluster.
每个星期，他们在Hadoop科研集群上重新计算他们关于类别的机器学习模式。

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21. The competition is designed to bring fresh ideas from machine learning and computer science experts.
这项竞赛被设计用来为机器学习这个领域带来新鲜血液和发现计算机科学专家。

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22. In artificial intelligence, there are several categories of problems, one of which is machine learning.
在人工智能领域，有几类主要的问题，机器学习就是其中之一。

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23. A robot has taught itself to smile, frown, and make other human facial expressions using machine learning.
机器人已经能够通过机器学习能力教会自己微笑、皱眉以及其他的人类面部表情。

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24. Can a company so enamored with the power of algorithms and machine learning, let the user take control?
作为一个公司，它能这样专注于算法和结构研究，并且让用户来掌控吗？

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25. AD system USES elements of computer vision and machine learning to deliver a targeted advertising experience.
广告系统使用计算机影像和机器学习元素来交付目标广告体验。

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26. In terms of machine learning, we had to give the machines good audiovisual material with real emotions and expressions.
在机器学习方面，我们需要给机器提供带有情绪和表情的很好的声像材料。

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27. Many, many more companies would benefit from leveraging machine learning in their applications to learn from users and past situations.
此外，还有许多公司在自己的应用程序中应用了机器学习，以便学习用户以及过去的经验，从而获得收益。

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28. Therein lies the premise and the promise of the field of machine learning and the project this article introduces: Apache Mahout (see Resources).
这其中就蕴含着机器学习领域以及本文章所介绍项目的前景：ApacheMahout（见参考资料）。

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29. As an aside, some machine learning techniques use a fourth set of data, called a validation set, which is used during training to avoid overfitting.
另一方面，一些机器学习技术使用第四种数据集，称为验证集[validationset]，它被用来在整个训练期间避免过适合[overfitting]。

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30. In programming this brain — a process that's still going on-microsoft relies on an advancing field of artificial intelligence called machine learning.
为大脑编写程序，微软主要依靠人工智能的前端领域—机器学习。

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