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Machine Learning with Amazon SageMaker Cookbook

You're reading from   Machine Learning with Amazon SageMaker Cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800567030
Length 762 pages
Edition 1st Edition
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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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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Getting Started with Machine Learning Using Amazon SageMaker 2. Chapter 2: Building and Using Your Own Algorithm Container Image FREE CHAPTER 3. Chapter 3: Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker 4. Chapter 4: Preparing, Processing, and Analyzing the Data 5. Chapter 5: Effectively Managing Machine Learning Experiments 6. Chapter 6: Automated Machine Learning in Amazon SageMaker 7. Chapter 7: Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor 8. Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms 9. Chapter 9: Managing Machine Learning Workflows and Deployments 10. Other Books You May Enjoy

Technical requirements

To execute the recipes in the chapter, make sure you have the following:

  • An Amazon S3 bucket.
  • Permission to manage the Amazon SageMaker and Amazon S3 resources if you're using an AWS IAM user with a custom URL. If you are using the root account, then you should be able to proceed with the recipes in this chapter. However, it is recommended that you're signed in as an AWS IAM user instead of using the root account in most cases. For more information, feel free to take a look at the following guide: https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html.

As the recipes in this chapter involve a bit of code, we have made the notebooks available in this book's GitHub repository: https://github.com/PacktPublishing/Machine-Learning-with-Amazon-SageMaker-Cookbook/tree/master/Chapter09.

Before starting on each of the recipes in this chapter, make sure that the my-experiments/chapter09 directory is ready. If it has not...

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