EcommCo’s Data Lake leverages Amazon SageMaker for easy development, training and deployment of machine learning models.
SageMaker Notebooks are fully managed machine learning compute instances running the Jupyter Notebook application. Notebooks allow users to write code to create model training jobs, deploy models into production using Amazon SageMaker hosting service and test or validate produced solutions.
SageMaker uses S3 to store model artifacts, from where they can be deployed into Amazon SageMaker hosting service. After the deployment process, Amazon SageMaker provides an HTTPS endpoint where the machine learning model is available to provide inferences.
When you click this button, the following steps will be performed within your AWS account: