The Machine Learning Solutions Architect Handbook - Second Edition

8

Building a Data Science Environment Using AWS ML Services

While some organizations opt to build their own ML platforms using open-source technologies, many other organizations prefer to leverage fully managed ML services as the foundation for their ML platforms. In this chapter, we will delve into the fully managed ML services offered by AWS. Specifically, you will learn about Amazon SageMaker, and other related services for building a data science environment for data scientists. We will examine various components of SageMaker, such as SageMaker Studio, SageMaker Training, and SageMaker Hosting. Additionally, we will delve into the architectural framework for constructing a data science environment and provide a hands-on exercise to guide ...