【光能蜗牛的人工智能之旅】week1 : 1.Welcom to

What is machine learning? You probably use it dozens of times a day without even knowing it. Each time you do a web search on Google or Bing, that works so well because their machine learning software has figured out how to rank what pages.
什么是机器学习?你可能一天会不知不觉地使用它几十次。每次你在谷歌或Bing上进行网络搜索时，这个功能都很好用，因为他们的机器学习软件已经知道如何对页面进行排序。

When Facebook or Apple's photo application recognizes your friends in your pictures, that's also machine learning. Each time you read your email and a spam filter saves you from having to wade through tons of spam, again, that's because your computer has learned to distinguish spam from non-spam email. So, that's machine learning.
当Facebook或苹果的照片应用程序识别你照片中的朋友时，这也是机器学习。每次你阅读你的电子邮件，垃圾邮件过滤器会帮你从成堆的垃圾邮件中解脱出来，同样，这是因为你的电脑已经学会了区分垃圾邮件和非垃圾邮件。这就是机器学习。

There's a science of getting computers to learn without being explicitly programmed. One of the research projects that I'm working on is getting robots to tidy up the house. How do you go about doing that?
这是一门无需显式编程就能让计算机学习的科学。我正在进行的一个研究项目是让机器人打扫房间。我们应该怎么做呢?

Well what you can do is have the robot watch you demonstrate the task and learn from that. The robot can then watch what objects you pick up and where to put them and try to do the same thing even when you aren't there. For me, one of the reasons I'm excited about this is the AI, or artificial intelligence problem.
你只需要让机器人观看你演示的任务，机器人就会从中学习。然后，机器人可以观察你捡起什么东西，把它们放在哪里，即使你不在家，它也会尝试做同样的事情。对我来说，我对此感到兴奋的原因之一是AI也就是人工智能问题。

Building truly intelligent machines, we can do just about anything that you or I can do. Many scientists think the best way to make progress on this is through learning algorithms called neural networks, which mimic how the human brain works, and I'll teach you about that, too. In this class, you learn about machine learning and get to implement them yourself.
建造真正的智能机器，可以做任何你我都可以做的事情。许多科学家认为，在这方面取得进展的最好方法是通过学习一种叫做神经网络的算法，这种算法模仿人类大脑的工作方式，我也会教你们这方面的知识。在这门课上，你学习机器学习，并自己动手实现它们。

I hope you sign up on our website and join us.
我希望你注册我们的网站，加入我们。