You're reading from Automated Machine Learning with Microsoft Azure Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800565319

Length 340 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Machine Learning

Authors (2):

Dennis Michael Sawyers

Dennis Sawyers

View More author details

Table of Contents (17) Chapters

Preface

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

2. Chapter 1: Introducing AutoML FREE CHAPTER

3. Chapter 2: Getting Started with Azure Machine Learning Service

4. Chapter 3: Training Your First AutoML Model

5. Section 2: AutoML for Regression, Classification, and Forecasting – A Step-by-Step Guide

6. Chapter 4: Building an AutoML Regression Solution

7. Chapter 5: Building an AutoML Classification Solution

8. Chapter 6: Building an AutoML Forecasting Solution

9. Chapter 7: Using the Many Models Solution Accelerator

10. Section 3: AutoML in Production – Automating Real-Time and Batch Scoring Solutions

11. Chapter 8: Choosing Real-Time versus Batch Scoring

12. Chapter 9: Implementing a Batch Scoring Solution

13. Chapter 10: Creating End-to-End AutoML Solutions

14. Chapter 11: Implementing a Real-Time Scoring Solution

15. Chapter 12: Realizing Business Value with AutoML

16. Other Books You May Enjoy

Working with data in AMLS

Now that you've created a compute, all you need to do is create a dataset and you will be ready to run your first AutoML job. Datasets are simply pointers to files on your Storage account or pointers to SQL queries on Azure SQL databases.

A dataset is not a file itself. You can create datasets from local files, from SQL queries, or from files in your storage accounts. Azure Open Datasets, publicly available data curated by Microsoft, can also be registered as datasets. For this exercise, we will create a dataset using the Diabetes open dataset.

Creating a dataset using the GUI

Let's begin:

Click the Dataset tab.
Click the Create dataset button, indicated by the blue cross, and you will be presented with a dropdown. Select From Open Datasets, as shown in the following screenshot.
Note that you can also use this dropdown to create datasets from local files on your computer, from web files, or from data found in your datastores...