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Getting Started with Amazon SageMaker Studio
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Getting Started with Amazon SageMaker Studio
by Michael Hsieh
Getting Started with Amazon SageMaker Studio
Contributors
Preface
Part 1 – Introduction to Machine Learning on Amazon SageMaker Studio
Chapter 1: Machine Learning and Its Life Cycle in the Cloud
Chapter 2: Introducing Amazon SageMaker Studio
Part 2 – End-to-End Machine Learning Life Cycle with SageMaker Studio
Chapter 3: Data Preparation with SageMaker Data Wrangler
Chapter 4: Building a Feature Repository with SageMaker Feature Store
Chapter 5: Building and Training ML Models with SageMaker Studio IDE
Chapter 6: Detecting ML Bias and Explaining Models with SageMaker Clarify
Chapter 7: Hosting ML Models in the Cloud: Best Practices
Chapter 8: Jumpstarting ML with SageMaker JumpStart and Autopilot
Part 3 – The Production and Operation of Machine Learning with SageMaker Studio
Chapter 9: Training ML Models at Scale in SageMaker Studio
Chapter 10: Monitoring ML Models in Production with SageMaker Model Monitor
Chapter 11: Operationalize ML Projects with SageMaker Projects, Pipelines, and Model Registry
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