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In this blog post I want to collect some of the lessons that Iโ€™ve learned over the years building machine learing systems.

Lessons learned

  1. How to set up Amazon Sagemaker for model training
  2. How to optimize your Docker: install your dependencies first and your code second
  3. How to scale up your code
  4. When you make a dataset, make a small statistics file
  5. Make sure you can find back your mlflow runs