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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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Toc

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

Summary

This ends Part 1 of Automated Machine Learning with Microsoft Azure, and you have accomplished a lot! You learned how to load in files from your local machine to your datastore and register it as a dataset. You have created your first AutoML model. You are able to not only interpret the results of your model with graphs and metrics but also explain how your model makes predictions. Lastly, you learned various tips and tricks that will allow you to fine-tune your models. You have made the first step on your journey toward mastering AutoML on Azure.

The next part of your journey will involve a lot of Python coding. In Chapter 4, Building an AutoML Regression Solution, you will build a regression model using the AzureML Python Software Development Kit (AzureML SDK). This SDK is a collection of commands that will allow a Python notebook to interact with your Azure workspace. You will learn how to write AutoML scripts in Python, and you will use those scripts to create powerful...

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