You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801811828

Length 420 pages

Edition 1st Edition

Tools

AWS

Concepts

Machine Learning

Author (1):

Trenton Potgieter

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Table of Contents (18) Chapters

Preface

1. Section 1: Fundamentals of the Automated Machine Learning Process and AutoML on AWS

2. Chapter 1: Getting Started with Automated Machine Learning on AWS FREE CHAPTER

3. Chapter 2: Automating Machine Learning Model Development Using SageMaker Autopilot

4. Chapter 3: Automating Complicated Model Development with AutoGluon

5. Section 2: Automating the Machine Learning Process with Continuous Integration and Continuous Delivery (CI/CD)

6. Chapter 4: Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning

7. Chapter 5: Continuous Deployment of a Production ML Model

8. Section 3: Optimizing a Source Code-Centric Approach to Automated Machine Learning

9. Chapter 6: Automating the Machine Learning Process Using AWS Step Functions

10. Chapter 7: Building the ML Workflow Using AWS Step Functions

11. Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning

12. Chapter 8: Automating the Machine Learning Process Using Apache Airflow

13. Chapter 9: Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow

14. Section 5: Automating the End-to-End Production Application on AWS

15. Chapter 10: An Introduction to the Machine Learning Software Development Life Cycle (MLSDLC)

16. Chapter 11: Continuous Integration, Deployment, and Training for the MLSDLC

17. Other Books You May Enjoy

Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning

This section introduces you to what a data-centric ML process is, how it differs from a code-centric approach, and the services typically used for this methodology, namely, Apache Airflow and Amazon Managed Workflows for Apache Airflow.

This section comprises the following chapters:

Chapter 8, Automating the Machine Learning Process Using Apache Airflow
Chapter 9, Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow

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You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Table of Contents (18) Chapters

Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning

Authors (1)

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You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Table of Contents (18) Chapters

Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning

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