Machine learning is the technology that's responsible for most of this disruption.

机器学习就是造成这种混乱的原因。

Machine learning will also make large progress.

机器学习同样会取得长足进步。

Machine learning started making its way into industry in the early 90s.

机器学习在90年代初开始进入工业领域。

Machine learning is now capable of far, far more complex tasks.

机器学习现在能够完成更复杂的任务。

Machine learning started making its way into the industrial world in the early 1990s.

机器学习在1990年代初开始进入工业世界。

Machine learning is turning the traditional model of drug discovery on its head.

机器学习正在颠覆传统的药物开发模型。

Machine learning is something that it used to be like only a few people could do it.

机器学习在过去是只有少数人能做的事情。

Machine learning is good at spotting patterns-such as distinctive patterns of mobile-phone use-but poor at predicting individual behaviour.

机器学习擅长识别模式——比如手机使用的独特模式——但在预测个人行为方面却很差。

Machine learning is being baked into workflows helping create previously unimaginable moments from big blockbusters to non-fiction TV.

机器学习正在融入工作流程，帮助创造以前难以想象的时刻，从大片到纪实类电视节目。

Machine learning is also at the heart of a separate SETI effort that will launch next month.

机器学习也是下个月将启动的另一项 SETI 计划的核心。

And we gain this context through machine learning.

我们通过机器学习获取这些背景信息。

My company, Kaggle, operates on the cutting edge of machine learning.

我的公司，Kaggle，在机器学习的最前沿运作。

Tesla's approach to self-driving is machine learning.

特斯拉的自动驾驶方法是机器学习。

Today, the action is really around machine learning.

现在主要的研究方向是机器的学习。

Machine learning is now about as good as humans at basic text, image, and voice recognition tasks, Polakis says.

波拉基斯说，在基本的文本、图像和语音识别上，现在的机器学习已经几乎和人类表现得一样好了。

We had to build a specific machine learning algorithms.

我们必须构建一个特定的机器运行算法。

And so AI and machine learning are not perfect tools.

人工智能和机器学习并不是完美的工具。

It now uses a much more sophisticated machine learning approach.

现在，它使用了一种更为复杂的机器学习方法。

This involves AI machine learning and some very cool chemistry.

这个问题涉及人工智能、机器学习，以及一些很酷的化学研究。

We're going to use a technology called machine learning.

我们用一种叫做机器学习的方法。