伯克利《人工智能导论》(2018) 课程
https://inst.eecs.berkeley.edu/~cs188/fa18/
【伯克利《人工智能导论》(2018)课程 视频+资料】《CS 188: Introduction to Artificial Intelligence, Fall 2018》 http://t.cn/Ebl9xCS
视频选集
（1/25）
Intro to AI
01:25:00
Uninformed Search
01:25:00
A* Search and Heuristics
01:25:00
CSPs I
01:25:00
CSPs II
01:25:00
Game Trees: Minimax
01:25:00
Game Trees: Expectimax, Utilities
01:25:00
MDPs I
01:25:00
MDPs II
01:25:00
RL I
01:25:00
RL II
01:25:00
Probability
01:25:00
BNs: Representation
01:25:00
BNs: Independence
01:25:00
BNs: Inference
01:25:00
BNs: Sampling
01:25:00
Decision Networks / VPI
01:25:00
HMMs
01:25:00
Particle Filtering and Apps of HMMs
01:25:00
ML: Naive Bayes
01:25:00
ML: Perceptrons and Logistic Regression
01:25:00
ML: Optimization and Neural Networks
01:25:00
ML: Neural Networks II and Decision Trees
01:25:00
Tu Robotics / Language / Vision
01:25:00
Advanced Topics and Final Contest
01:25:00
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