The Machine Learning Pipeline on AWS

Deployment How to deploy, inference, and monitor your model on

Feature Engineering and Model Tuning Feature extraction, selection, creation, and

Checkpoint 3 and Answer Review

Model Evaluation How to evaluate classification models How to evaluate

Model Training Choosing the right algorithm Formatting and splitting your

Checkpoint 2 and Answer Review

Preprocessing Overview of data collection and integration, and techniques for

Checkpoint 1 and Answer Review

Problem Formulation Overview of problem formulation and deciding if ML

Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon

Introduction to Machine Learning and the ML Pipeline Overview of

Introduction Pre-assessment