Find Class Notes for CS486 at UW

CS486 Lecture Notes - Lecture 11: Decision Tree Learning, Propositional Formula, Overfitting

CS486 Lecture 13: Back Propagation

CS486 Lecture Notes - Lecture 12: Supervised Learning, Overfitting, Unsupervised Learning

CS486 Lecture Notes - Lecture 10: Normal-Form Game, Nash Equilibrium, Mechanism Design

CS486 Lecture Notes - Lecture 9: Markov Decision Process, Discounting

CS486 Lecture Notes - Lecture 8: Bayesian Network, Variable Elimination, Probability Theory

CS486 Lecture Notes - Lecture 7: Network Topology, Bayesian Network, Conditional Independence

CS486 Lecture Notes - Lecture 6: Conditional Independence, Random Variable

CS486 Lecture Notes - Lecture 5: Local Optimum, Maxima And Minima, Genetic Algorithm

CS486 Lecture 7: lec07_scannednotes

CS486 Lecture 6: lec06_scannednotes

CS486 Lecture 3: lec03_scannednotes

CS486 Lecture 4: lec04_scannednotes

CS486 Lecture 2: lec02_scannednotes

CS486 Lecture Notes - Lecture 5: Propositional Formula

CS486 Lecture Notes - Lecture 1: Search Algorithm, Successor Function

CS486 Lecture Notes - Lecture 3: Search Algorithm, Iterative Deepening Depth-First Search, Binary Tree

CS486 Lecture Notes - Lecture 1: Dspace, Branching Factor, Priority Queue