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Getting Started with Amazon SageMaker Studio Cover

Getting Started with Amazon SageMaker Studio

Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Paid access
|Apr 2022
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Table of Contents

  1. Machine Learning and Its Life Cycle in the Cloud
  2. Introducing Amazon SageMaker Studio
  3. Data Preparation with SageMaker Data Wrangler
  4. Building a Feature Repository with SageMaker Feature Store
  5. Building and Training ML Models with SageMaker Studio IDE
  6. Detecting ML Bias and Explaining Models with SageMaker Clarify
  7. Hosting ML Models in the Cloud: Best Practices
  8. Jumpstarting ML with SageMaker JumpStart and Autopilot
  9. Training ML Models at Scale in SageMaker Studio
  10. Monitoring ML Models in Production with SageMaker Model Monitor
  11. Operationalize ML Projects with SageMaker Projects, Pipelines and Model Registry
PDF ISBN: 978-1-80107-348-6
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2022
Language: English
Pages: 326