Introducing Amazon SageMaker Studio

Amazon SageMaker Studio is an IDE for ML that is completely web-based and fully managed by AWS resources in the background. It provides an intuitive interface to access ML tools to build, train, deploy, monitor, and debug your ML models. It also provides studio notebooks, which have a JupyterLab interface preinstalled with popular data science libraries that allow you to begin experimenting immediately upon getting access to the studio notebooks interface. These notebooks can be scaled up or down for CPUs or GPUs depending on the workloads you want to run on them and also provides terminal access for you to install and manage third-party libraries for local runs of your experiments. Once you are done experimenting locally, you can call multiple SageMaker jobs to scale out your experiments to larger datasets and workloads that can be horizontally scaled to multiple instances instead of a single notebook environment. For example, SageMaker Processing...