CS 540: Intro to AI, University of Wisconsin

CS 540 Lecture Notes

Slides on introduction 4-up pdf
Slides on uninformed search 4-up pdf
Slides on informed search 4-up pdf
Visualization of several search methods
Slides on game playing 4-up pdf
Minimax and Alpha-Beta interactive demo
Example of Alpha-Beta pruning using the algorithm in the textbook (UC Berkeley)
Slides on introduction to machine learning 4-up pdf
Hierarchical Agglomerative Clustering applet (M. Matteucci)
K-Means Clustering applet (M. Matteucci)
k-Nearest-Neighbor Classifier applet (X. Zhu)
Slides on decision trees 4-up pdf
Decision tree applet (Univ. Alberta)
Random forest demo (Stanford University)
Slides on genetic algorithms 4-up pdf
Midterm review 4-up pdf
Slides on constraint satisfaction problems 4-up pdf
Slides on neural networks 4-up pdf (updated 11/11/2019)
Deep learning by Y. LeCun, Y. Bengio and G. Hinton, Nature 521, 2015, 436-444
Neural networks demo (Stanford University)
ConvNetJS deep learning demos (Stanford University)
Slides on uncertainty 4-up pdf
Slides on Bayesian Networks 4-up pdf
Slides on Support Vector Machines 4-up pdf
SVM demo (Stanford University)
Slides on speech recognition 4-up pdf
Markov Models and Hidden Markov Models: A Brief Tutorial, E. Fosler-Lussier, Technical Report TR-98-041, International Computer Science Institute, University of California, Berkeley, 1998
Slides on face detection 4-up pdf (updated 12/10/19)
Final review slides 4-up pdf