Automated Machine Learning with Microsoft Azure

By Dennis Michael Sawyers
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  1. Chapter 1: Introducing AutoML

About this book

Automated Machine Learning with Microsoft Azure helps you to build high-performing, accurate machine learning models in record time. It allows anyone to easily harness the power of artificial intelligence and increase the productivity and profitability of your business. With a series of clicks on a guided user interface (GUI), novices and seasoned data scientists alike can train and deploy machine learning solutions to production with ease.

This book will teach you how to use Azure AutoML with both the GUI as well as the AzureML Python software development kit (SDK) in a careful, step-by-step way. First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS). Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems.

By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect.

Publication date:
April 2021
Publisher
Packt
Pages
340
ISBN
9781800565319

 

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

In this first part, you will understand why you should use AutoML and how it solves common industry problems. You will also build an AutoML solution through a UI. 

This section comprises the following chapters:

  • Chapter 1, Introducing AutoML
  • Chapter 2, Getting Started with Azure Machine Learning Service
  • Chapter 3, Training Your First AutoML Model

About the Author

  • 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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Automated Machine Learning with Microsoft Azure
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