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Introduction (Probability Theory (Bayesian theorem (prior probability,…
Introduction
Polynomial Cuve Fitting
y(x, *w)
Over Fitting
Probability Theory
Probability densities
Cumulative distribution function
density function
Probability Rule
Sum Rule
Product Rule
Statics parameters
Expectations
Covariance
Bayesian theorem
prior probability
posterior probability
Bayesian formula
Gaussian distribution
Model Selection
Decision Theory
misclassification rate
expected loss
reject option
Inference and decision
Loss functions for regression
Curse of Dimensionality
Information Theory
Relative entropy
mutual information