【2021教学课件】加州大学伯克利分校:人工智能导论.zip
(88.72 MB, 需要: RMB 25 元)
内容如下:
Lecture1--lntro+polioy
Lecture2--Uiomed search
Lecture3--A search and Heuristics
Lecture4--GameTrees l
Lecture5--GameTrees ll
Lectue6--MOP
Lecture7--Reinforcement learning I
Lecture8--Reinorcement learning ll
Lecture 9--Probabiity
Lecture10--Bayes Net Representation
Lecture11--Bayes Net Independence
Lecture12--Bayes Net Inference
Lecture13--Bayes Net sampling
Lecture14--Hidden Markov Models
Lecture15--Particle Filtering
Lecture16--Decision Networks
lecture17--Naive Bayes
Lecture18--Naive Bayes ll
Lecture 19--Perceptrons
Lecture20--Neural Networks I
Lecture21--NeuraI Networks ll


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