This book is for developers, data scientists, and machine learning engineers interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 100 hands-on recipes. All you need is an AWS account to get things running. Some knowledge in AWS, the Python programming language, and machine learning will help readers understand the concepts in this book more effectively.
- Perform machine learning experiments with built-in Amazon SageMaker algorithms using R and Python
- Explore various solutions and integrations when working with TensorFlow, PyTorch, and other frameworks
- Automate complex machine learning workflows with AWS Step Functions, Kubeflow, and other solutions
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