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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 that you have the following ready:

  • A running Amazon SageMaker notebook instance (for example, ml.t2.large)
  • An Amazon S3 bucket

If you do not have these prerequisites ready yet, feel free to check the Launching an Amazon SageMaker notebook instance and Preparing the Amazon S3 bucket and the training dataset for the linear regression experiment recipes from Chapter 1, Getting Started with Machine Learning Using Amazon SageMaker.

As the recipes in this chapter involve a bit of code, we have made these scripts and notebooks available in this repository: https://github.com/PacktPublishing/Machine-Learning-with-Amazon-SageMaker-Cookbook/tree/master/Chapter03.

Figure 3.1 – Machine-Learning-with-Amazon-SageMaker-Cookbook GitHub repository

As seen in Figure 3.1, we have the source code for the recipes in this chapter organized inside the Chapter03 directory of the Machine...

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