P5.2-Maximum Likelihood and MAP

P3.5-Representer Theorem

P5.5-The Evidence Function

P1.2 - Introduction II

P3.8-SVM-The Linearly Separable Classes Case

P5.8-Gaussian Mixture Models

P1.5 Biased VS Unbiased Estimators

P4.1a-Perceptron Follow Up

P5.11-Exponential Family of Distributions