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CS 188
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1:16:25
CS 188 Lecture 26 Conclusion
CS 188
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9 years ago
57:45
CS 188 Lecture 25 Applications
CS 188
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9 years ago
1:12:51
CS 188 Lecture 23 Neural Networks
CS 188
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9 years ago
1:17:24
CS 188 Lecture 23 Optimization
CS 188
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9 years ago
1:08:37
CS 188 Lecture 22 Kernels and Clustering
CS 188
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9 years ago
1:08:45
CS 188 Lecture 21 Linear models & perceptrons
CS 188
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9 years ago
1:14:45
CS 188 Lecture 20 Naive Bayes
CS 188
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9 years ago
1:19:07
CS 188 Lecture 19 Particle Filtering
CS 188
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9 years ago
58:25
CS 188 Lecture 18 Hidden Markov Models
CS 188
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9 years ago
1:13:57
CS 188 Lecture 17 Markov Models
CS 188
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9 years ago
1:28:17
CS 188 Lecture 16 Decision Networks and VPI
CS 188
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9 years ago
1:19:37
CS 188 Lecture 15 Bayes Nets Sampling
CS 188
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9 years ago
1:11:09
CS 188 Lecture 14 Bayes Net Inference
CS 188
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9 years ago
1:24:10
CS 188 Lecture 11 Probability
CS 188
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9 years ago
1:19:48
CS 188 Lecture 9 Reinforcement Learning I
CS 188
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9 years ago
1:24:27
CS 188 Lecture 8 MDPs II
CS 188
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9 years ago
1:25:24
CS 188 Lecture 7 MDPs I
CS 188
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9 years ago
1:22:04
CS 188 Lecture 6 Uncertainty and Utilities
CS 188
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9 years ago
1:23:00
CS 188 Lecture 5 Adversarial Search
CS 188
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9 years ago
1:22:50
CS 188 Lecture 4 CSPs
CS 188
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9 years ago
25:52
A Graph Search Optimality
CS 188
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9 years ago
1:21:51
CS 188 Lecture 3 -- Informed Search
CS 188
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9 years ago
1:22:03
CS 188 Lecture 2 -- Uninformed Search
CS 188
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9 years ago
1:23:07
CS 188 Lecture 1 -- Introduction
CS 188
36.7K views
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9 years ago
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