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Machine Learning Engineering on AWS

You're reading from   Machine Learning Engineering on AWS Build, scale, and secure machine learning systems and MLOps pipelines in production

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781803247595
Length 530 pages
Edition 1st Edition
Tools
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Author (1):
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Joshua Arvin Lat Joshua Arvin Lat
Author Profile Icon Joshua Arvin Lat
Joshua Arvin Lat
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: Getting Started with Machine Learning Engineering on AWS
2. Chapter 1: Introduction to ML Engineering on AWS FREE CHAPTER 3. Chapter 2: Deep Learning AMIs 4. Chapter 3: Deep Learning Containers 5. Part 2:Solving Data Engineering and Analysis Requirements
6. Chapter 4: Serverless Data Management on AWS 7. Chapter 5: Pragmatic Data Processing and Analysis 8. Part 3: Diving Deeper with Relevant Model Training and Deployment Solutions
9. Chapter 6: SageMaker Training and Debugging Solutions 10. Chapter 7: SageMaker Deployment Solutions 11. Part 4:Securing, Monitoring, and Managing Machine Learning Systems and Environments
12. Chapter 8: Model Monitoring and Management Solutions 13. Chapter 9: Security, Governance, and Compliance Strategies 14. Part 5:Designing and Building End-to-end MLOps Pipelines
15. Chapter 10: Machine Learning Pipelines with Kubeflow on Amazon EKS 16. Chapter 11: Machine Learning Pipelines with SageMaker Pipelines 17. Index 18. Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “ENTRYPOINT is set to /opt/conda/bin/python -m awslambdaric. The CMD command is then set to app.handler. The ENTRYPOINT and CMD instructions define which command is executed when the container starts to run.”

A block of code is set as follows:

SELECT booking_changes, has_booking_changes, * 
FROM dev.public.bookings 
WHERE 
(booking_changes=0 AND has_booking_changes='True') 
OR 
(booking_changes>0 AND has_booking_changes='False');

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

---
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
metadata:
  name: kubeflow-eks-000
  region: us-west-2
  version: "1.21"
availabilityZones: ["us-west-2a", "us-west-2b", "us-west-2c", "us-west-2d"]
managedNodeGroups:
- name: nodegroup
  desiredCapacity: 5
  instanceType: m5.xlarge
  ssh:
    enableSsm: true

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “After clicking the FILTER button, a drop-down menu should appear. Locate and select Greater than or equal to from the list of options under By condition. This should update the pane on the right side of the page and show the list of configuration options for the Filter values operation.”

Tips or Important Notes

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