Machine learning will also make large progress.

机器学习同样会取得长足进步。

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。

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。

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。

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。

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。

The Oregon-based company works to bring machine learning to biologists.

这家总部位于俄勒冈州的公司致力于将机器学习带给生物学家。

In a certain sense, what we did was machine learning.

某种意义上 我们做的就是机器学习。

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。

We use the most advanced machine learning techniques called neural networks.

我们使用了最先进的机器学习技术，叫做神经网络。

They're powered by brushless motors and some onboard machine learning.

它们由无刷电机和一些机载机器学习驱动。

So " machine learning" is what most programmers mean when they say " AI" .

所以，大多数程序员在说“AI”时，所指的是“机器学习”。

We can also apply machine learning algorithms to detect clusters of disease.

我们也可以应用机器学习算法来探测疾病频发地点。

Matthew Guzdial researches creativity and machine learning at the University of Alberta.

Matthew Guzdial 在阿尔伯塔大学研究创造力和机器学习。