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伯克利CS188人工智能导论(Spring 2016)

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2017-10-22 18:27:47

http://ai.berkeley.edu/home.html UC Berkeley CS188 Intro to AI

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1 (Search) Overview

15:43

1 (Search) Solutions

32:59

2 (Graph search + CSPs) Overview

25:01

2 (Graph Search + CSPs) Solutions

17:04

3 (CSPs + Games) Overview

30:25

3 (CSPs + Games) Solutions

32:20

4 (Games + MDPs) Solutions

18:06

5 (MDPs + RL) Overview

15:15

5 (MDPs + RL) Solutions

24:41

6 (RL + Probability) Overview

10:18

6 (RL + Probability) Solutions

10:57

7 (Bayes Nets + Variable Elimination) Overview

13:00

7 (Bayes Nets + Variable Elimination) Solutions

16:51

8 (Sampling + VPI) Overview

16:02

8 (Sampling + VPI) Solutions

20:04

9 (HMMs + Particle Filters) Overview

12:55

9 (HMMs + Particle Filters) Solutions

12:37

10 (Naive Bayes + Perceptrons) Overview

15:17

10 (Naive Bayes + Perceptrons) Solutions

15:39

11 (Neural Networks) Overview

24:46

11 (Perceptrons + Neural Networks) Solutions

15:34

12 (Neural Networks) Solutions

27:38

13 Bayes' Nets Representation

01:19:27

14 Bayes' Nets Inference

01:19:25

15 Bayes' Nets Sampling

01:20:45

17 VPIs and Markov Models

01:14:15

18 HMMs

01:17:12

19 HMM Filtering

01:23:32

21 Perceptron

01:23:05

25 Advanced Topics NLP

01:10:29

26 Advanced Topics HRI

53:02

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