Automated Machine Learning with Microsoft Azure

Table of Contents

Preface

Section 1: AutoML Explained – Why, What, and How

Chapter 1: Introducing AutoML

Explaining data science's ROI problem

Defining machine learning, data science, and AI

Machine learning versus traditional software

The five steps to machine learning success

Putting it all together

Analyzing why AI projects fail slowly

Solving the ROI problem with AutoML

Summary

Chapter 2: Getting Started with Azure Machine Learning Service

Technical requirements

Creating your first AMLS workspace

Creating an Azure account

Creating an AMLS workspace

Creating an AMLS workspace with code

Navigating AML studio

Building compute to run your AutoML jobs

Creating a compute instance

Creating a compute cluster

Creating a compute cluster and compute ...