Launching an Amazon SageMaker Notebook Instance

In this recipe, we will set up an Amazon SageMaker notebook instance where we can run our ML experiments using Jupyter Notebooks. The SageMaker notebook instance is a fully managed ML compute instance running a collection of tools and applications such as the Jupyter Notebook app. With several tools and libraries already installed and ready to use, we can go straight into working on our ML experiments without having to worry about the installation and maintenance work.

Important note

Take note that we can also perform our ML experiments in Amazon SageMaker Studio. We will take a closer look at Amazon SageMaker Studio in Chapter 6, Automated Machine Learning in Amazon SageMaker. From our end, it is critical to know how to use both of them as there will be features and capabilities such as local mode, which is supported in notebook instances, but not supported in Amazon SageMaker Studio.

Getting ready

Here are the prerequisites...