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Machine Learning on Kubernetes

You're reading from   Machine Learning on Kubernetes A practical handbook for building and using a complete open source machine learning platform on Kubernetes

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803241807
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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Ross Brigoli Ross Brigoli
Author Profile Icon Ross Brigoli
Ross Brigoli
Faisal Masood Faisal Masood
Author Profile Icon Faisal Masood
Faisal Masood
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: The Challenges of Adopting ML and Understanding MLOps (What and Why)
2. Chapter 1: Challenges in Machine Learning FREE CHAPTER 3. Chapter 2: Understanding MLOps 4. Chapter 3: Exploring Kubernetes 5. Part 2: The Building Blocks of an MLOps Platform and How to Build One on Kubernetes
6. Chapter 4: The Anatomy of a Machine Learning Platform 7. Chapter 5: Data Engineering 8. Chapter 6: Machine Learning Engineering 9. Chapter 7: Model Deployment and Automation 10. Part 3: How to Use the MLOps Platform and Build a Full End-to-End Project Using the New Platform
11. Chapter 8: Building a Complete ML Project Using the Platform 12. Chapter 9: Building Your Data Pipeline 13. Chapter 10: Building, Deploying, and Monitoring Your Model 14. Chapter 11: Machine Learning on Kubernetes 15. Other Books You May Enjoy

Provisioning a VM on GCP

It is always preferable to have a local environment that you can use to work on the exercises in this book. However, we understand that not everyone has the required compute resources available in their local machines. So, let's go to the cloud! You can provision just the right machine that you need for the exercises, in the cloud, and for free. For instance, Google Cloud gives United States dollars (USD) $300 worth of credit to new accounts. Other cloud providers such as AWS and Azure also give a similar free tier account, and it is up to you to select the cloud provider of your choice. For provisioning the VM we need for this book, however, we will use Google Cloud.

Once you have the account details sorted, use the following steps to provision a VM in your account. Just do not forget to stop the VM instance after you have completed a session to avoid getting billed for the hours that you are not using your machine.

The following instruction will...

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