WARNING: This material is still being tweaked!
#0 (1) 
Administration
Introduction: What is ML? 
[1] Auxiliary 
Foundations  
#1 (2) 
Probability 101

[2] Auxiliary 
Learning Linear Models  
#2a (1.5)  Learning Linear Regression Models (Revised 18/Sept/09)  [3, 7] Auxiliary (Java) 
#2b (1) 
General Issues for Predictors
(Evaluating Predictors, Model Selection: BiasVariance, Regularization, Bayesian) 
[2.8, 2.9, 3.4] Auxiliary 
#2c (1)  Linear Classifiers
(Revised 25/Sept/09)
(Perceptron, MeanSquaredError, Logistic Regression, Linear Discriminant Analysis, FisherLinearDiscriminant, [NewtonRaphson]) 
[4] Auxiliary 
#2d (1.5)  (Linear) Support Vector Machines
(Revised 10/Oct/09)
(+ Foundations: Duality, Legrange, Quadratic Programming, ...) 
[4.5.2, 12] Auxiliary 
#2e (0) 
(not covered, 2009) Framework: Supervised Learning, Issues
(not covered, 2008, 2009) Hypothesis Testing for Evaluating Predictors 
[2]
Auxiliary 
Learning NonLinear Models  
#3a (4)
[BP] 
Kernel Foundations (Updated 13/Oct/09)  [5.8], [12] (esp [12.3]) Auxiliary Learning Kernel Classifiers (Google Book) 
#3b (1)
[BP] 
SVM (Kernel)  [6] Auxiliary 
#3c (1)
[BP] 
Gaussian Processes (Kernel) 
Gaussian Processes for Machine Learning
Auxiliary 
#3d (2)  Artificial Neural Nets
(BackPropagation, Repr'n, Line Search, Conjugate Gradient, Topics) 
[11] Auxiliary 
#3e (2) 
Decision Trees
(Entropy, Pruning, Topics) 
[9.2] Auxiliary 
Ensemble Methods 

#4 (1) 
Ensemble Methods
(Bagging, Boosting, ...) 
[8.7, 10, 16] Auxiliary 
Computational Learning Theory  
#5 (1) 
Framework, Finite Realizable Case; (Not covered, 2009): Unrealizable, VCdimension, Variable size, Datadependent 
[7.1.5] Auxiliary 
Graphical Models  
#6a (3) 
Directed Models (Belief Nets)

[8] Auxiliary 
#6b(0) 
(not covered, 2008) Undirected Models (Markov Random Fields)  Auxiliary 
Unsupervised Learning  
#7 (2)
[BP] 

[12] Auxiliary 
Reinforcement Learning  
#8 (0) (Not covered 2009) 
Reinforcement
Learning: An Introduction (download)
[Chapter 1], [Chapter 2  2.2], [Chapter 3 (excluding 3.4, 3.5, 3.9)], [Chapter 6 (excluding 6.6, 6.7, 6.8)], [Chapter 10] 
[] Auxiliary 