Appendix E. AWS SageMaker
AWS SageMaker is a set of services from AWS related to machine learning. SageMaker makes it easy to create a server on AWS with Jupyter installed on it. The notebooks are already configured: they have most of the libraries we need, including NumPy, Pandas, Scikit-learn, and TensorFlow, so we can just use them for our projects!
E.1 AWS SageMaker Notebooks
SageMaker’s notebooks are especially interesting for training neural networks for two reasons:
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We don’t need to worry about setting up TensorFlow and all the libraries.
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It’s possible to rent a computer with a GPU, which enables us to train neural networks a lot faster.
To use a GPU, we need to adjust the default quotas. In the next section, we tell you how to do ...
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