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updated 10/03/2014

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MIT 6.034 Artificial Intelligence, Fall 2010 - Instructor: Patrick Winston
In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference.
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Lessons
1) 1. introduction and scope 1,162 views watch video
2) 2. reasoning: goal trees and problem solving 1,131 views watch video
3) 3. reasoning: goal trees and rule-based expert systems 1,401 views watch video
4) 4. search: depth-first, hill climbing, beam 1,244 views watch video
5) 5. search: optimal, branch and bound, a* 1,008 views watch video
6) 6. search: games, minimax, and alpha-beta 1,167 views watch video
7) 7. constraints: interpreting line drawings 998 views watch video
8) 8. constraints: search, domain reduction 1,168 views watch video
9) 9. constraints: visual object recognition 935 views watch video
10) 10. introduction to learning, nearest neighbors 934 views watch video
11) 11. learning: identification trees, disorder 1,247 views watch video
12) 12. learning: neural nets, back propagation 1,059 views watch video
13) 13. learning: genetic algorithms 1,116 views watch video
14) 14. learning: sparse spaces, phonology 990 views watch video
15) 15. learning: near misses, felicity conditions 1,233 views watch video
16) 16. learning: support vector machines 1,101 views watch video
17) 17. learning: boosting 990 views watch video
18) 18. representations: classes, trajectories, transitions 1,093 views watch video
19) 19. architectures: gps, soar, subsumption, society of mind 1,223 views watch video
20) 21. probabilistic inference i 1,088 views watch video
21) 22. probabilistic inference ii 1,012 views watch video
22) 23. model merging, cross-modal coupling, course summary 1,175 views watch video
23) Mega-r1. rule-based systems 1,132 views watch video
24) Mega-r2. basic search, optimal search 1,101 views watch video
25) Mega-r3. games, minimax, alpha-beta 1,198 views watch video
26) Mega-r4. neural nets 1,062 views watch video
27) Mega-r5. support vector machines 1,075 views watch video
28) Mega-r6. boosting 1,204 views watch video
29) Mega-r7. near misses, arch learning 892 views watch video

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