for more future reading, for MLOps:
- Key deployment patterns: https://towardsdatascience.com/navigating-ml-deployment-34e35a18d514
- Cortex
- Seldon Core
- ML Model Serving Overview: https://www.reddit.com/r/dataengineering/comments/k6hyla/machine_learning_model_serving_overview_seldon/
- ML Stack: https://news.ycombinator.com/item?id=21516311
- joblib vs pickle: https://stackoverflow.com/questions/12615525/what-are-the-different-use-cases-of-joblib-versus-pickle/12617603#12617603
- Productionising ML monitoring: https://www.youtube.com/watch?v=QcevzK9ZuDg&feature=youtu.be
- Feature Store: https://www.tecton.ai/blog/what-is-a-feature-store/
- Replicate (Version Control for Machine Learning): https://replicate.ai/?utm_campaign=Data_Elixir&utm_source=Data_Elixir_314
- Dynamic Data Testing: https://medium.com/anomalo-hq/dynamic-data-testing-f831435dba90