Chapter 5: Building and Training ML Models with SageMaker Studio IDE
Building and training a machine learning (ML) model can be easy with SageMaker Studio. It is an integrated development environment (IDE) designed for ML developers for building and training ML models at scale and efficiently. In order to train an ML model, you may previously have dealt with the cumbersome overhead of managing compute infrastructure for yourself or for your team to train ML models properly. You may also have experienced compute resource constraints, either on desktop machines or with cloud resources, where you are given a fixed-size instance. When you develop in SageMaker Studio, there is no more frustration with provisioning and managing compute infrastructure because you can easily make use of elastic compute in SageMaker Studio and its wide support of sophisticated ML algorithms and frameworks for your ML use case.
In this chapter, we will be covering the following topics:
- Training models...
