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Machine Learning on Kubernetes

by Ross Brigoli, Faisal Masood

The book of the week from 07 Nov 2022 to 11 Nov 2022

MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization.

You’ll begin by understanding the different components of a machine learning project. Then, you’ll design and build a practical end-to-end machine learning project using open source software. As you progress, you’ll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow.

By the end of this book, you’ll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built.

What you will learn:

  • Understand the different stages of a machine learning project
  • Use open source software to build a machine learning platform on Kubernetes
  • Implement a complete ML project using the machine learning platform presented in this book
  • Improve on your organization’s collaborative journey toward machine learning
  • Discover how to use the platform as a data engineer, ML engineer, or data scientist
  • Find out how to apply machine learning to solve real business problems

To take part in the book of the week event:

  • Register in our Slack
  • Join the #book-of-the-week channel
  • Ask as many questions as you'd like
  • The book authors answer questions from Monday till Thursday
  • On Friday, the authors decide who wins free copies of their book

To see other books, check the the book of the week page.

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