Linear Regression with MLE and MAP
Linear Regression using MLE and MAP with visualization and implementation
Parameter Estimation: From MLE to Full Bayesian Inference
Maximum Likelihood, MAP and Bayesian Inference for probability estimation
Dimensionality Reduction using PCA
Notes on the minimum reconstruction error interpretation of PCA and high dimensional PCA