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Jupyter notebooks for the CSC421 Introduction to AI classes at the University of Victoria

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
data
data
 
 
images
images
 
 
3genres_full.arff.libsvm
3genres_full.arff.libsvm
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Untitled1.ipynb
Untitled1.ipynb
 
 
Untitled2.ipynb
Untitled2.ipynb
 
 
agents.py
agents.py
 
 
cifar_net.pth
cifar_net.pth
 
 
csc421_final.html
csc421_final.html
 
 
csc421_final_grades.html
csc421_final_grades.html
 
 
csc421_final_grades_percentages.html
csc421_final_grades_percentages.html
 
 
csc421_grading.ipynb
csc421_grading.ipynb
 
 
csc421_midterm.html
csc421_midterm.html
 
 
csc421_supervised_learning_I.pdf
csc421_supervised_learning_I.pdf
 
 
csc421_supervised_learning_II.pdf
csc421_supervised_learning_II.pdf
 
 
csc421_supervised_learning_III.pdf
csc421_supervised_learning_III.pdf
 
 
csc421_tzanetakis_adversarial_search.ipynb
csc421_tzanetakis_adversarial_search.ipynb
 
 
csc421_tzanetakis_agents.ipynb
csc421_tzanetakis_agents.ipynb
 
 
csc421_tzanetakis_beyond_classical_search.ipynb
csc421_tzanetakis_beyond_classical_search.ipynb
 
 
csc421_tzanetakis_classical_planning.ipynb
csc421_tzanetakis_classical_planning.ipynb
 
 
csc421_tzanetakis_csp.ipynb
csc421_tzanetakis_csp.ipynb
 
 
csc421_tzanetakis_deep_learning-Copy1.ipynb
csc421_tzanetakis_deep_learning-Copy1.ipynb
 
 
csc421_tzanetakis_deep_learning.ipynb
csc421_tzanetakis_deep_learning.ipynb
 
 
csc421_tzanetakis_introduction.html
csc421_tzanetakis_introduction.html
 
 
csc421_tzanetakis_introduction.ipynb
csc421_tzanetakis_introduction.ipynb
 
 
csc421_tzanetakis_learning.ipynb
csc421_tzanetakis_learning.ipynb
 
 
csc421_tzanetakis_learning_probabilistic_models-Copy1.ipynb
csc421_tzanetakis_learning_probabilistic_models-Copy1.ipynb
 
 
csc421_tzanetakis_learning_probabilistic_models.ipynb
csc421_tzanetakis_learning_probabilistic_models.ipynb
 
 
csc421_tzanetakis_logic.ipynb
csc421_tzanetakis_logic.ipynb
 
 
csc421_tzanetakis_making_simple_decisions.ipynb
csc421_tzanetakis_making_simple_decisions.ipynb
 
 
csc421_tzanetakis_probabilistic_reasonining.ipynb
csc421_tzanetakis_probabilistic_reasonining.ipynb
 
 
csc421_tzanetakis_probabilistic_reasonining_time.ipynb
csc421_tzanetakis_probabilistic_reasonining_time.ipynb
 
 
csc421_tzanetakis_propositional_logic.ipynb
csc421_tzanetakis_propositional_logic.ipynb
 
 
csc421_tzanetakis_quantifying_uncertainty.ipynb
csc421_tzanetakis_quantifying_uncertainty.ipynb
 
 
csc421_tzanetakis_searching.ipynb
csc421_tzanetakis_searching.ipynb
 
 
csp.py
csp.py
 
 
ismir2021tutorial_classification.ipynb
ismir2021tutorial_classification.ipynb
 
 
logic.py
logic.py
 
 
search.py
search.py
 
 
utils.py
utils.py
 
 

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csc421_tzanetakis

Jupyter notebooks and other supporting materials for the CSC421 Introduction to AI classes at the University of Victoria. The course uses the 4th edition of the classic textbook "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig.

The website for the book can be found at: Artificial Intellignece: A Modern Approach

Notebooks:

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Jupyter notebooks for the CSC421 Introduction to AI classes at the University of Victoria

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