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You're reading from  Automated Machine Learning with Microsoft Azure

Product typeBook
Published inApr 2021
PublisherPackt
ISBN-139781800565319
Edition1st Edition
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Author (1)
Dennis Michael Sawyers
Dennis Michael Sawyers
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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.
Read more about Dennis Michael Sawyers

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Technical requirements

This chapter will feature a lot of coding using Jupyter notebooks within AMLS. Thus, you will need a working internet connection, an AMLS workspace, and a compute instance. ML pipelines also require a compute cluster. You will also need to have trained and registered the Iris multiclass classification model in Chapter 5, Building an AutoML Classification Solution.

The following are the prerequisites for the chapter:

  • Access to the internet.
  • A web browser, preferably Google Chrome or Microsoft Edge Chromium.
  • A Microsoft Azure account.
  • Have created an AMLS workspace.
  • Have created the compute-cluster compute cluster in Chapter 2, Getting Started with Azure Machine Learning Service.
  • Understand how to navigate to the Jupyter environment from an Azure compute instance as demonstrated in Chapter 4, Building an AutoML Regression Solution.
  • Have trained and registered the Iris-Multi-Classification-AutoML ML model in Chapter 5, Building...
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Automated Machine Learning with Microsoft Azure
Published in: Apr 2021Publisher: PacktISBN-13: 9781800565319

Author (1)

author image
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.
Read more about Dennis Michael Sawyers