Linking pages
- Lessons Learned From Running Apache Airflow at Scale — Data Science & Engineering (2022) https://shopify.engineering/lessons-learned-apache-airflow-scale 182 comments
- 🎙Dmitrii Evstiukhin/Provectus: "Four Horsemen of AI Project Failure and How to Deal with Them" https://thesequence.substack.com/p/dmitrii-evstiukhinprovectus-four 5 comments
- GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. https://github.com/eugeneyan/applied-ml 2 comments
- Building a Machine Learning Platform [Definitive Guide] https://neptune.ai/blog/ml-platform-guide 1 comment
- Unlocking Real-time Predictions with Shopify's Machine Learning Platform (2023) https://shopify.engineering/shopifys-machine-learning-platform-real-time-predictions 0 comments
Linked pages
- Building Smarter Search Products: 3 Steps for Evaluating Search Algorithms — Data Science & Engineering https://shopify.engineering/evaluating-search-algorithms 15 comments
- Apache Airflow https://airflow.apache.org/ 10 comments
- Productionizing and scaling Python ML workloads simply | Ray https://ray.io 9 comments
- Apache Spark™ - Unified Engine for large-scale data analytics http://spark.apache.org/ 9 comments
- GitHub - ray-project/xgboost_ray: Distributed XGBoost on Ray https://github.com/ray-project/xgboost_ray 0 comments
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