Further reading
At this point, you might want to dive deeper into the relevant subtopics discussed by checking the references listed in the Further reading section of each of the previous chapters. In addition to these, you can check the following resources, too:
- Amazon SageMaker Model Building Pipelines – Pipeline Steps (https://docs.aws.amazon.com/sagemaker/latest/dg/build-and-manage-steps.html)
- Boto3 – SageMaker Client (https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html)
- Amazon SageMaker – AutoGluon-Tabular Algorithm (https://docs.aws.amazon.com/sagemaker/latest/dg/autogluon-tabular.html)
- Automate MLOps with SageMaker Projects (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-projects.html)
- Machine Learning Savings Plans (https://aws.amazon.com/savingsplans/ml-pricing/)
- SageMaker – Amazon EventBridge Integration (https://docs.aws.amazon.com/sagemaker/latest/dg/pipeline-eventbridge...
