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Artificial Intelligence

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Lecture 1 Overview Free

Lecture 2 Machine Learning 1 Linear Classifiers SGD | Stanford CS221 Free

Lecture 3 Machine Learning 2 Features Neural Networks | Stanford CS221 Free

Lecture 4 Machine Learning 3 Generalization K means | Stanford CS221  Free

Lecture 5 Search 1 Dynamic Programming Uniform Cost Search | Stanford CS221 Free

Lecture 6 Search 2 A | Stanford CS221 Free

Lecture 7 Markov Decision Processes Value Iteration | Stanford CS221 Free

Lecture 8 Markov Decision Processes Reinforcement Learning | Stanford CS221 Free

Lecture 9 Game Playing 1 Minimax Alpha beta Pruning | Stanford CS221 Free

Lecture 10 Game Playing 2 TD Learning Game Theory | Stanford CS221  Free

Lecture 11 Factor Graphs 1 Constraint Satisfaction Problems | Stanford CS221 AI Free

Lecture 12 Factor Graphs 2 Conditional Independence | Stanford CS221 AI  Free

Lecture 13 Bayesian Networks 1 Inference | Stanford CS221  Free

Lecture 14 Bayesian Networks 2 Forward Backward | Stanford CS221 AI  Free

Lecture 15 Bayesian Networks 3 Maximum Likelihood | Stanford CS221  Free

Lecture 16 Logic 1 Propositional Logic | Stanford CS221 AI Free

Lecture 17 Logic 2 First order Logic | Stanford CS221 AI Free

Lecture 18 Deep Learning | Stanford CS221 AI Free

Lecture 19 Conclusion | Stanford CS221 AI Free

Artificial Intelligence Lecture 15 Bayesian Networks 3 Maximum Likelihood | Stanford CS221 
Lesson 15 of 19
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Lecture 15 Bayesian Networks 3 Maximum Likelihood | Stanford CS221 

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