Introduction to AI by Sebastian Thrun & Peter Norvig
εros 2011-10-13 21:39:04 Stanford CS221: Introduction to Artificial IntelligenceOnline Class | On-campus Class
Instructors: Peter Norvig ( Google+ | Google Research | Facebook | Wikipedia )
Sebastian Thrun ( Twitter | TED | Wikipedia )
Reading: <Artificial Intelligence: A Modern Approach 3rd edition>
by Stuart Russell and Peter Norvig, December 11, 2009, Prentice Hall.
UCBerkeley | douban | amazon.com | Google Books | Wikipedia | iAsk
Microblog: Twitter | Weibo | Twitter(Unofficial)
Study Groups: douban | reddit | aiqus | Meetup | Google Groups | Facebook | Stanford Class
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● Unit 1. Welcome to AI (16 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:27:45
Lecture Notes (Online Courses)
Slides (On-campus Courses)
Suggested Readings
1.1 What Is AI?
1.4 The State of the Art
1.5 Summary
2.1 Agents and Environments
2.2 Good Behavior: The Concept of Rationality
2.3 The Nature of Environments
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● Unit 2. Problem Solving (42 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 01:00:54
Lecture Notes (Online Courses)
Slides | PDF (On-campus Courses)
Suggested Readings
3.1 Problem-Solving Agent
3.3 Searching for Solutions
3.4 Uninformed Search Strategies
3.5 Informed (Heuristic) Search Strategies
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● Homework 1 (7 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:11:36
Due Time: Sunday, Oct. 16, 23:59 UTC
Monday, Oct. 17, 07:59 UTC+8(China Standard Time)
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● Unit 3. Probability in AI (64 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 01:11:58
Slides (On-campus Courses)
Suggested Readings
13.1 Acting under Uncertainty
13.2 Basic Probability Notation
13.3 Inference Using Full Joint Distributions
13.4 Independence
13.5 Bayes' Rule and Its Use
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● Unit 4. Probabilistic Inference (33 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:43:42
Slides | PDF (On-campus Courses)
Suggested Readings
14.1 Representing Knowledge in an Uncertain Domain
14.2 The Semantics of Bayesian Networks
14.3 Efficient Representation of Conditional Distributions
14.4 Exact Inference in Bayesian Networks
14.5 Approximate Inference in Bayesian Networks
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● Homework 2 (6 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:10:23
Due Time: Tuesday, Oct. 25, 23:59 UTC
Wednesday, Oct. 26, 07:59 UTC+8(China Standard Time)
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● Unit 5. Machine Learning (55 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 01:30:30
Slides (On-campus Courses)
Suggested Readings
18.1 Forms of Learning
18.2 Supervised Learning
18.3 Learning Decision Trees
18.4 Evaluating and Choosing the Best Hypothesis
18.5 The Theory of Learning
18.6 Regression and Classification with Linear Models
18.7 Artificial Neural Networks
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● Unit 6. Unsupervised Learning (46 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:55:14
Slides | PDF (On-campus Courses)
Suggested Readings
18.8 Nonparametric Models
18.9 Support Vector Machines
18.10 Ensemble Learning
20.1 Statistical Learning
20.2 Learning with Complete Data
20.3 Learning with Hidden Variables: The EM Algorithm
20.4 Summary, Bibliographical and Historical Notes, Exercises
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● Homework 3 (8 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:12:19
Due Time: Tuesday, Nov. 1, 23:59 UTC
Wednesday, Nov. 2, 07:59 UTC+8(China Standard Time)
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● Unit 7. Representation with Logic (19 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:39:03
Slides | PDF (On-campus Courses)
Suggested Readings
4.3 Searching with Nondeterministic Actions
4.4 Searching with Partial Observations
10.1 Definition of Classical Planning
10.2 Algorithms for Planning as State-Space Search
10.3 Planning Graphs
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● Unit 8. Planning (25 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 01:00:22
Slides (On-campus Courses)
Suggested Readings
17.1 Sequential Decision Problems
17.2 Value Iteration
17.3 Policy Iteration
17.4 Partially Observable MDPs
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● Homework 4 (9 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:21:29
Due Time: Monday, Nov. 7, 23:59 UTC
Tuesday, Nov. 8, 07:59 UTC+8(China Standard Time)
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● Unit 9. Planning under Uncertainty (36 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:44:38
Slides | PDF (On-campus Courses)
Suggested Readings
21.2 Passive Reinforcement Learning
21.3 Active Reinforcement Learning
21.4 Generalization in Reinforcement Learning
21.5 Policy Search
21.6 Applications of Reinforcement Learning
21.7 Summary, Bibliographical and Historical Notes, Exercises
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● Unit 10. Reinforcement Learning (25 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:42:37
Slides (On-campus Courses)
Suggested Readings
15.1 Time and Uncertainty
15.2 Inference in Temporal Models
15.3 Hidden Markov Models
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● Homework 5 (3 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:07:13
Due Time: Monday, Nov. 14, 23:59 UTC
Tuesday, Nov. 15, 07:59 UTC+8(China Standard Time)
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● Unit 11. HMMs and Filters (28 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:0:0
Slides | PDF (On-campus Courses)
Suggested Readings
5.1 Games
5.2 Optimal Decisions in Games
5.3 Alpha-Beta Pruning
5.4 Imperfect Real-Time Decisions
5.5 Stochastic Games
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● Unit 12. MDP Review (8 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:04:52
Slides | PDF (On-campus Courses)
Suggested Readings
11.1
11.2
11.3
17.5
17.6
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● Midterm Exam (15 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:25:43
Start Time: Saturday, Nov. 19, 00:00 UTC
Saturday, Nov. 19, 08:00 UTC+8(China Standard Time)
Due Time: Monday, Nov. 21, 23:59 UTC
Tuesday, Nov. 22, 07:59 UTC+8(China Standard Time)
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● Unit 13. Games (36 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:0:
Slides (On-campus Courses)
Suggested Readings
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● Unit 14. Game Theory (29 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:42:42
Suggested Readings
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● Unit 15. Advanced Planning (16 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:19:05
Suggested Readings
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● Homework 6 (11 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:16:13
Due Time: Wednesday, Nov. 30, 23:59 UTC
Thursday, Nov. 31, 07:59 UTC+8(China Standard Time)
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● Unit 16. Computer Vision I (47 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:43:33
Suggested Readings
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● Unit 17. Computer Vision II (33 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:34:26
Suggested Readings
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● Unit 18. Computer Vision III (9 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:12:38
Suggested Readings
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● Homework 7 (6 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:08:23
Due Time: Monday, Dec. 05, 23:59 UTC
Tuesday, Dec. 06, 07:59 UTC+8(China Standard Time)
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● Unit 19. Robotics I (21 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:23:33
Suggested Readings
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● Unit 20. Robotics II (15 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:25:00
Suggested Readings
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● Homework 8 (7 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:10:54
Due Time: Monday, Dec. 12, 23:59 UTC
Tuesday, Dec. 13, 07:59 UTC+8(China Standard Time)
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● Unit 21. Natural Language Processing (40 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:54:24
Suggested Readings
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● Optional NLP Programming
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:07:26
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● Unit 22. Natural Language Processing II (15 videos)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:42:26
Suggested Readings
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● Final Exam (12 questions)
Videos: YouTube Playlist | Youku Playlist
Total Length: 00:27:31
Start Time: Friday, Dec. 16 00:00 UTC
Friday, Dec. 16, 08:00 UTC+8(China Standard Time)
Due Time: Sunday, Dec. 18, 23:59 UTC
Monday, Dec. 19, 07:59 UTC+8(China Standard Time)
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