Spike Wigner ModelExplores the Spike Wigner model, Bayesian denoising, state evolution, and spectral methods in matrix analysis.
Mean-Square-Error InferenceCovers the concept of mean-square-error inference and optimal estimators for inference problems using different design criteria.
Linear Regression BasicsCovers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.
Model EvaluationDelves into model evaluation, covering theory, training error, prediction error, resampling methods, and information criteria.