Amazon SageMaker Best Practices

Preface

Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker.

As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large datasets while saving costs, monitoring training resources to identify bottlenecks, ...