Data science projects development with Amazon SageMaker

This chapter discusses SageMaker - a fully managed machine learning (ML) service provided by Amazon Web Services (AWS). Being a fully managed service, means that a user does not have to deal with hardware setup, patching, management, backups etc. All this is taken care of by the service provider. The user can choose from a wide variety of computing instance types that are optimized for different tasks, and can even set up automatic hardware scaling depending on the needs of their application. In this chapter, we provide an overview of the current SageMaker functionalities in section 14.1, discuss SageMaker workflow in section 14.2, and conclude with an example project in section 14.3.