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Train with Amazon SageMaker on your local machine

twitter logo github logo Originally published at Medium on ・1 min read  

In this video, I show you how to train on your local machine using SageMaker APIs. I use Jupyter, and this would also work with your preferred IDE (PyCharm, etc.). This is a friendly and fast way to write and debug your code before running it at scale on managed instances. This technique also saves you money, as you’re not using notebook instances or SageMaker Studio.

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