Build end-to-end machine learning workflows with Amazon SageMaker and Apache Airflow

Favorite Machine learning (ML) workflows orchestrate and automate sequences of ML tasks by enabling data collection and transformation. This is followed by training, testing, and evaluating a ML model to achieve an outcome. For example, you might want to perform a query in Amazon Athena or aggregate and prepare data
Read More Shared by AWS Machine Learning May 30, 2019