Amazon SageMaker Best Practices

Table of Contents

Preface

Section 1: Processing Data at Scale

Chapter 1: Amazon SageMaker Overview

Technical requirements

Preparing, building, training and tuning, deploying, and managing ML models

Discussion of data preparation capabilities

SageMaker Ground Truth6

SageMaker Data Wrangler8

SageMaker Processing8

SageMaker Feature Store10

SageMaker Clarify10

Feature tour of model-building capabilities

SageMaker Studio12

SageMaker notebook instances12

SageMaker algorithms14

BYO algorithms and scripts15

Feature tour of training and tuning capabilities

SageMaker training jobs16

Autopilot17

HPO18

SageMaker Debugger19

SageMaker Experiments20

Feature tour of model management and deployment capabilities

Model Monitor 21

Model endpoints21

Edge Manager22 ...