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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

You're reading from  AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Pages 342 pages
Edition 2nd Edition
Languages
Authors (2):
Somanath Nanda Somanath Nanda
Profile icon Somanath Nanda
Weslley Moura Weslley Moura
Profile icon Weslley Moura
View More author details

Table of Contents (13) Chapters

Preface 1. Chapter 1: Machine Learning Fundamentals 2. Chapter 2: AWS Services for Data Storage 3. Chapter 3: AWS Services for Data Migration and Processing 4. Chapter 4: Data Preparation and Transformation 5. Chapter 5: Data Understanding and Visualization 6. Chapter 6: Applying Machine Learning Algorithms 7. Chapter 7: Evaluating and Optimizing Models 8. Chapter 8: AWS Application Services for AI/ML 9. Chapter 9: Amazon SageMaker Modeling 10. Chapter 10: Model Deployment 11. Chapter 11: Accessing the Online Practice Resources 12. Other Books You May Enjoy

Choosing instance types in Amazon SageMaker

SageMaker uses a pay-for-usage model. There is no minimum fee for it.

When you think about instances on SageMaker, it all starts with an EC2 instance. This instance is responsible for all your processing. It’s a managed EC2 instance. These instances won’t show up in the EC2 console and cannot be SSHed either. The names of this instance type start with ml.

SageMaker offers instances of the following families:

  • The t family: This is the burstable CPU family. With this family, you get a balanced ratio of CPU and memory. This means that if you have a long-running training job, then you lose performance over time as you spend the CPU credits. If you have very small jobs, then they are cost-effective. For example, if you want a notebook instance to launch training jobs, then this family is the most appropriate and cost-effective.
  • The m family: In the previous family, you saw that CPU credits are consumed faster due...
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