DiscoverMachine Learning7. Machine Learning Lecture 7
7. Machine Learning Lecture 7

7. Machine Learning Lecture 7

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 lectures on optimal margin classifiers, KKT conditions, and SUM duals.
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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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7. Machine Learning Lecture 7

7. Machine Learning Lecture 7

Andrew Ng