Bagging and Boosting
Explore bagging and boosting in machine learning, including variance reduction, bias management, and ensemble classifier construction
Statistics
Bias–Variance Tradeoff
Understanding how bias and variance affect model performance
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