AWS - Machine Learning Engineer Associate Study Guide

2: ML Model Development

This chapter turns prepared features into trained, evaluated, and audit ready models on AWS. It walks the algorithm selection matrix, the Amazon SageMaker training surface, hyperparameter tuning strategies, regularization, model compression, evaluation metrics, bias analysis with SageMaker Clarify, and version control with the SageMaker Model Registry.