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Automated Machine Learning with Microsoft Azure

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

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800565319
Length 340 pages
Edition 1st Edition
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Authors (2):
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Dennis Michael Sawyers Dennis Michael Sawyers
Author Profile Icon Dennis Michael Sawyers
Dennis Michael Sawyers
Dennis Sawyers Dennis Sawyers
Author Profile Icon Dennis Sawyers
Dennis Sawyers
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Table of Contents (17) Chapters Close

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

Transferring data using ADF

Moving data from on-premise to the cloud and from the cloud to on-premise is a key skill for any data engineer or data scientist. ADF accomplishes this task with the Copy data activity. This is ADF's most basic and most powerful function.

In this section, first, you will download a self-hosted integration runtime (SHIR) to your local machine, allowing your computer to serve as a compute resource to load data into Azure. Then, you will create a linked service for your Azure storage account and your local PC.

Next, you will download a file from the GitHub repository and save it to your PC. Finally, you will create a Copy data activity in ADF that will take data from your PC and put it into the same Azure blob container that's connected to your AML datastore.

Going through these exercises will give you the data engineering skills that will allow you to create an end-to-end solution in the next section.

Installing a self-hosted integration...

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