Amazon SageMaker Best Practices

Chapter 1: Amazon SageMaker Overview

This chapter will provide a high-level overview of the Amazon SageMaker capabilities that map to the various phases of the machine learning (ML) process. This will set a foundation for the best practices discussion of using SageMaker capabilities in order to handle various data science challenges. 

In this chapter, we're going to cover the following main topics:

• Preparing, building, training and tuning, deploying, and managing ML models
• Discussion of data preparation capabilities
• Feature tour of model-building capabilities
• Feature tour of training and tuning capabilities
• Feature tour of model management and deployment capabilities

Technical requirements

All notebooks with coding exercises will be available ...