Automating machine learning lifecycle with AWS

Machine Learning and data science life cycle involved several phases. Each phase requires complex tasks executed by different teams, as explained by Microsoft in this article. To solve the complexity of these tasks, cloud providers like Amazon, Microsoft, and Google services automate these tasks that speed up end to end the machine learning lifecycle. This article explains Amazon Web Services (AWS) cloud services used in different tasks in a machine learning life cycle. To better understand each service, I will write a brief description, a use case, and a link to the documentation. In this article, machine learning lifecycle can be replaced with data science lifecycle.