UC Berkeley CS188 Intro to AI

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2020-02-05 23:55:56
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http://ai.berkeley.edu/lecture_videos.html UC Berkeley CS188 Intro to AI
个人博客:https://wxrui182.github.io/|数据|摄影|阅读|人工智能|BUPT|USTC
视频选集
(21/25)
Lecture 1 - Introduction-W1S-HSakPTM
01:08:20
Lecture 2 Uninformed Search-bSv4CWMTeR0
01:12:46
Lecture 3 Informed Search-8pTjoFiICg8
01:17:21
Lecture 4 Constraint Satisfaction Problems I-Hv_JlWld9iQ
01:13:55
Lecture 5 Constraint Satisfaction Problems II-kYVSOLX_t84 (1)
01:14:09
Lecture 5 Constraint Satisfaction Problems II-kYVSOLX_t84
01:14:09
Lecture 6 Adversarial Search-1KTCoQRWKOE
01:16:31
Lecture 7 - Expectimax-jaFRyzp7yWw
01:19:51
Lecture 8 MDPs-Oxqwwnm_x0s
01:14:44
Lecture 9 - MDPs II-6pBvbLyn6fE
01:09:07
Lecture 10 Reinforcement Learning I-IXuHxkpO5E8
01:20:34
Lecture 11 - Reinforcement Learning II-yNeSFbE1jdY
01:09:51
Lecture 12 - Probability-cFtXkaLog5A
01:08:32
Lecture 13 - Markov Models-Nxkapm7QlNw
01:15:23
Lecture 14 - Hidden Markov Models-XFgdo4czYs4
01:14:16
Lecture 15 - Applications of HMMs-KBg97801U40
01:18:14
Lecture 16 - Bayes Nets-gMQZq2O8yDA
01:11:41
Lecture 17 - Bayes Nets II-9OajWBYRhRU
01:14:06
Lecture 18 - Bayes Nets - Inference-y9jdsPNsU_Q
01:05:38
Lecture 21 - Decision Diagrams, VPI-VL_IAzfC2uk
01:13:22
Lecture 21 - ML - Naive Bayes-_pe60buCnxE
01:09:35
Lecture 22 - ML Perceptron-HEFfs1KCph4
01:10:13
Lecture 23 - Kernels and Clustering-H9DUTH9lCfg
58:02
Lecture 24 -Applications - NLP, Games, Cars-sMKptCC-x_o
01:17:06
Lecture 25 - Advanced Applications - Robotics and Computer Vision-WZqtZ8RDVs8
01:16:17
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