What is Machine Learning? — Transcript

Full transcript

1. 0:02[Music]
2. 0:08My name is Ali Flores and I'm a product
3. 0:10manager at Alexa.
4. 0:11My name is Dr. Chelsea Haupt, I work at
5. 0:13the Allen Institute for Artificial Intelligence
6. 0:15and I work on an AI-powered academic
7. 0:17search engine.
8. 0:21All around you computers are making
9. 0:23decisions and those decisions affect
10. 0:26your daily life.
11. 0:27When you do an internet search, or scroll
12. 0:30through your news feed
13. 0:31computers decide what you see.
14. 0:34Computers can already recognize your face
15. 0:37and understand your voice.
16. 0:38And soon they'll be driving cars,
17. 0:40and detecting diseases even better than humans.
18. 0:44So, how is any of this possible?
19. 0:46You may have heard
20. 0:48about something called AI,
21. 0:50or artificial intelligence, true artificial intelligence is decades away
22. 0:56there's a type of AI called
23. 0:58machine learning that is here today.
24. 1:00It's a type of AI you probably interact
25. 1:02with every day
26. 1:03without even knowing it.
27. 1:06And it has the opportunity to help us
28. 1:08tackle some of the world's biggest challenges.
29. 1:12Machine learning is how computers
30. 1:14recognize patterns,
31. 1:16and make decisions without being
32. 1:19explicitly programmed.
33. 1:21What's so exciting is that it's a
34. 1:23completely different way
35. 1:25to program a computer than what we've
36. 1:28ever done before.
37. 1:31With machine learning, instead of
38. 1:33programming a computer
39. 1:34step-by-step, you can program a computer
40. 1:37to learn
41. 1:38just like you learn through trial and error,
42. 1:41and lots of practice.
43. 1:44Learning comes from experience,
44. 1:45and that's true for machine learning too.
45. 1:48In this case, experience means lots and lots of data.
46. 1:54Machine learning can take in any kind of data:
47. 1:57images, video, audio, or text
48. 2:01and begin to recognize patterns in that data
49. 2:06once it learns to recognize patterns in
50. 2:08the data it can also learn to make
51. 2:10predictions based on those patterns,
52. 2:13like noticing the difference between an image of a car
53. 2:16and an image of a bicycle.
54. 2:20AI and machine learning are playing a
55. 2:22bigger and bigger role
56. 2:24in society at large
57. 2:26and shaping all of our futures.
58. 2:29That's why it's so important to learn
59. 2:31how it works
60. 2:32with some hands-on experience.
61. 2:36Remember AI is like any tool.
62. 2:39First you get the knowledge,
63. 2:41then you get the power