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Machine Learning Engineering on AWS
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Machine Learning Engineering on AWS
by Joshua Arvin Lat
Machine Learning Engineering on AWS
Machine Learning Engineering on AWS
Copyright © 2022 Packt Publishing
Contributors
About the author
About the reviewers
Preface
Part 1: Getting Started with Machine Learning Engineering on AWS
Chapter 1: Introduction to ML Engineering on AWS
Chapter 2: Deep Learning AMIs
Chapter 3: Deep Learning Containers
Part 2:Solving Data Engineering and Analysis Requirements
Chapter 4: Serverless Data Management on AWS
Chapter 5: Pragmatic Data Processing and Analysis
Part 3: Diving Deeper with Relevant Model Training and Deployment Solutions
Chapter 6: SageMaker Training and Debugging Solutions
Chapter 7: SageMaker Deployment Solutions
Part 4:Securing, Monitoring, and Managing Machine Learning Systems and Environments
Chapter 8: Model Monitoring and Management Solutions
Chapter 9: Security, Governance, and Compliance Strategies
Part 5:Designing and Building End-to-end MLOps Pipelines
Chapter 10: Machine Learning Pipelines with Kubeflow on Amazon EKS
Chapter 11: Machine Learning Pipelines with SageMaker Pipelines
Index
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