DiscoverMachine Learning18. Machine Learning Lecture 18
18. Machine Learning Lecture 18

18. Machine Learning Lecture 18

Update: 2008-07-23
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses state action rewards and linear dynamical systems in the context of linear quadratic regulation.
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1. Machine Learning Lecture 1

1. Machine Learning Lecture 1

2008-07-2301:08:39

2. Machine Learning Lecture 2

2. Machine Learning Lecture 2

2008-07-2301:16:15

3. Machine Learning Lecture 3

3. Machine Learning Lecture 3

2008-07-2301:13:13

4. Machine Learning Lecture 4

4. Machine Learning Lecture 4

2008-07-2301:13:06

5. Machine Learning Lecture 5

5. Machine Learning Lecture 5

2008-07-2301:15:30

6. Machine Learning Lecture 6

6. Machine Learning Lecture 6

2008-07-2301:13:08

7. Machine Learning Lecture 7

7. Machine Learning Lecture 7

2008-07-2301:15:44

8. Machine Learning Lecture 8

8. Machine Learning Lecture 8

2008-07-2301:17:18

9. Machine Learning Lecture 9

9. Machine Learning Lecture 9

2008-07-2301:14:18

10. Machine Learning Lecture 10

10. Machine Learning Lecture 10

2008-07-2301:12:55

11. Machine Learning Lecture 11

11. Machine Learning Lecture 11

2008-07-2301:22:18

12. Machine Learning Lecture 12

12. Machine Learning Lecture 12

2008-07-2301:14:22

13. Machine Learning Lecture 13

13. Machine Learning Lecture 13

2008-07-2301:14:56

14. Machine Learning Lecture 14

14. Machine Learning Lecture 14

2008-07-2300:04

15. Machine Learning Lecture 15

15. Machine Learning Lecture 15

2008-07-2301:17:17

16. Machine Learning Lecture 16

16. Machine Learning Lecture 16

2008-07-2301:13:05

17. Machine Learning Lecture 17

17. Machine Learning Lecture 17

2008-07-2300:04

18. Machine Learning Lecture 18

18. Machine Learning Lecture 18

2008-07-2301:16:37

19. Machine Learning Lecture 19

19. Machine Learning Lecture 19

2008-07-2301:15:54

20. Machine Learning Lecture 20

20. Machine Learning Lecture 20

2008-07-2301:16:39

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18. Machine Learning Lecture 18

18. Machine Learning Lecture 18

Andrew Ng