1 00:00:00,306 --> 00:00:04,113 This Fall quarter, Stanford University will be offering online for free 2 00:00:04,113 --> 00:00:05,875 the Machine Learning course that I teach. 3 00:00:05,881 --> 00:00:09,790 Machine Learning has a typical enrolment of 350 students in Stanford 4 00:00:09,790 --> 00:00:13,402 and this is one of the most popular courses offered by the Computer science department. 5 00:00:13,413 --> 00:00:17,406 Over 200'000 people have watched my Machine Learning lectures on YouTube. 6 00:00:17,409 --> 00:00:20,852 Based on this popularity, this year, we're doing something completely new: 7 00:00:20,852 --> 00:00:24,531 We're not just showing you videos, we're inviting you to sign up for 8 00:00:24,531 --> 00:00:27,426 actively participating and take this Stanford class. 9 00:00:27,426 --> 00:00:30,764 What is Machine Learning? You probably use it dozens of times a day, 10 00:00:30,764 --> 00:00:32,050 without even knowing it. 11 00:00:32,312 --> 00:00:34,792 Each time you do a web search on Google or Bing, 12 00:00:34,792 --> 00:00:39,502 that works so well because their machine learning software has figured out how to rank webpages. 13 00:00:39,502 --> 00:00:44,367 When Facebook or Apple's photo application recognizes your friends and your pictures, 14 00:00:44,373 --> 00:00:45,825 that's also machine learning. 15 00:00:45,825 --> 00:00:49,007 Each time you read your email and the spam filter saves you 16 00:00:49,007 --> 00:00:51,154 from having to wade through tons of spam, 17 00:00:51,154 --> 00:00:56,436 again, that's because your computer has learned to distinguish spam from non-spam email. 18 00:00:56,623 --> 00:00:58,360 So, that's machine learning. 19 00:00:58,361 --> 00:01:02,379 It's the science of getting computers to learn without being explicitly programmed. 20 00:01:02,379 --> 00:01:06,527 One of the research projects that I'm working on is getting robots to tidy the house. 21 00:01:06,853 --> 00:01:08,240 How do you go about doing that? 22 00:01:08,240 --> 00:01:12,881 Well, what you can do is have the robot watch you demonstrate the task, and learn from that. 23 00:01:12,881 --> 00:01:16,639 The robot can then watch what objects you pick up and where to put them, 24 00:01:16,639 --> 00:01:19,326 and try to do the same thing even when you aren't there. 25 00:01:19,330 --> 00:01:21,571 For me, one of the reasons I'm excited about this 26 00:01:21,571 --> 00:01:24,451 is the AI or artificial intelligence problem, 27 00:01:24,741 --> 00:01:28,919 building truly intelligent machines which can do just about anything that you or I can do. 28 00:01:28,937 --> 00:01:31,452 Many scientists think the best way to make progress on this 29 00:01:31,452 --> 00:01:34,448 is through learning algorithms called the "neural networks" 30 00:01:34,448 --> 00:01:36,326 which mimick how the human brain works 31 00:01:36,334 --> 00:01:38,285 and I'll teach about that too. 32 00:01:38,285 --> 00:01:42,053 In this class, you'll learn about machine learning and get to implement them yourself. 33 00:01:42,053 --> 00:01:44,647 This class will have homeworks and programming assignments, 34 00:01:44,647 --> 00:01:49,964 and if you successfully complete this class, you'll also get from me a signed Statement of Accomplishments 35 00:01:49,964 --> 00:01:53,087 stating how you did in the class and which you can put in your resumé. 36 00:01:53,486 --> 00:01:56,475 I hope you sign up on our web site and join us this Fall.