Managing compute instances to view, run, or share a notebook is tedious. Amazon SageMaker offers several choices to use Jupyter notebooks, including Amazon SageMaker Studio. SageMaker Studio notebooks are one-click Jupyter notebooks that you can spin up quickly. The underlying compute resources are fully elastic, so you can easily dial up or down the available resources, and the changes take place automatically in the background without interrupting your work. You can also easily share notebooks with others, making collaboration easy and scalable. In this session, see a demo of SageMaker Studio and other ways to use Jupyter notebooks for building machine learning models.
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