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Automated Machine Learning with Microsoft Azure

You're reading from Automated Machine Learning with Microsoft Azure

Product type Book

Published in Apr 2021

Publisher Packt

ISBN-13 9781800565319

Pages 340 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Dennis Michael Sawyers

Table of Contents (17) Chapters

Preface

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

2. Chapter 1: Introducing AutoML

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

You have now created and tested real-time scoring solutions using an AutoML trained model. Deploying first on ACI and then on AKS, you understand the full end-to-end process of creating a real-time scoring endpoint.

Furthermore, you understand how data must be shaped and formatted in order to generate predictions using these endpoints, which can be incorporated into any piece of code using a wide variety of computer languages to create powerful, innovative solutions.

In the next chapter, Chapter 12, Realizing Business Value with AutoML, the final chapter of the book, you will learn how to present AutoML solutions in a way that will gain the trust of your non-technical business partners. Their trust and acceptance, after all, is the foundation to unlocking the power and value of ML and artificial intelligence in your organization.

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Authors (1)

Dennis Michael Sawyers

Dennis Michael Sawyers is a senior cloud solutions architect (CSA) at Microsoft, specializing in data and AI. In his role as a CSA, he helps Fortune 500 companies leverage Microsoft Azure cloud technology to build top-class machine learning and AI solutions. Prior to his role at Microsoft, he was a data scientist at Ford Motor Company in Global Data Insight and Analytics (GDIA) and a researcher in anomaly detection at the highly regarded Carnegie Mellon Auton Lab. He received a master's degree in data analytics from Carnegie Mellon's Heinz College and a bachelor's degree from the University of Michigan. More than anything, Dennis is passionate about democratizing AI solutions through automated machine learning technology.

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