Lessons learned from building machine learning systems
In this blog post I want to collect some of the lessons that Iโve learned over the years building machine learing systems.
Lessons learned
- How to set up Amazon Sagemaker for model training
- How to optimize your Docker: install your dependencies first and your code second
- How to scale up your code
- When you make a dataset, make a small statistics file
- Make sure you can find back your mlflow runs
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