Topics
SVM 1 Incorporate slack
Variables
kernel SVM i provevalidkernel1
Gradient descent Deriveupdatestep
cross Validation
Regularization a shrinkage
Variable selection
ALc Cp Atc op
Best subsets
Ridge regression
LASSO A
Non linear regression
splines
Trees
Bagging
Bias Variance ideas
Boosting
AdyBoost I lookat derivation intext
Neural Networks
Most complicated
onehidenlayer
Softmax identify out
Compute gradient
Baekpropagation
Forward Pass
Cluster
cluster dendogram tf k
2
EM algorithm
BigPicture concepts whenMLELS
conveity whenGaussianmixture
cu
BasisfunctionCsplier
equal to kmeans
L L2 penalty





































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