Lectures related to Shrinkage (statistics)

Addresses overfitting in supervised learning through polynomial regression case studies and model selection techniques.

Covers data representations and processing techniques essential for effective machine learning algorithms.

Covers statistical estimation models, ML estimators, learning machines, practical issues, and challenges in estimation.

Explores nonparametric regression using local polynomial estimation to balance data fidelity and smoothness.