You're reading from Automated Machine Learning Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781800567689

Length 312 pages

Edition 1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Author (1):

Adnan Masood

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1: Introduction to Automated Machine Learning

2. Chapter 1: A Lap around Automated Machine Learning FREE CHAPTER

3. Chapter 2: Automated Machine Learning, Algorithms, and Techniques

4. Chapter 3: Automated Machine Learning with Open Source Tools and Libraries

5. Section 2: AutoML with Cloud Platforms

6. Chapter 4: Getting Started with Azure Machine Learning

7. Chapter 5: Automated Machine Learning with Microsoft Azure

8. Chapter 6: Machine Learning with AWS

9. Chapter 7: Doing Automated Machine Learning with Amazon SageMaker Autopilot

10. Chapter 8: Machine Learning with Google Cloud Platform

11. Chapter 9: Automated Machine Learning with GCP

12. Section 3: Applied Automated Machine Learning

13. Chapter 10: AutoML in the Enterprise

14. Other Books You May Enjoy

Getting started with AWS ML

In this section, we will do a walkthrough of the AWS Management Console and show you how to use AWS SageMaker with step-by-step instructions. Let's dive in. The AWS ML environment is fairly intuitive and easy to work with:

To start, first open up the AWS Management Console by visiting aws.amazon.com in your browser. Now, click on Sign in to the Console, or log back in (if you are a returning user):
Figure 6.5 – AWS Management Console
Enter your root (account) user's email address in the Root user email address field to proceed:
Figure 6.6 – AWS Management Console login
Upon successful login, you will be taken to the following screen, the AWS Management Console:
Figure 6.7 – AWS Management Console
AWS has a collection of tons of different services. In the AWS Management Console, find the services search box, then type sagemaker to find the Amazon SageMaker service, as shown in the following screenshot, and...