applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
About this project
applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Learn how other organizations did it: — How the problem is framed 🔎(e.g., personalization as recsys vs. search vs. sequences) — What machine learning techniques worked ✅ (and sometimes, what didn't ❌) — Why it works, the science behind it with research, literature, and references 📂 — What real-world results were achieved (so you can better assess ROI ⏰💰📈) P.S., Want a summary of ML advancements? 👉ml-surveys P.P.S, Looking for guides and interviews on applying ML? 👉applyingML Table of Contents 1. Data Quality 2. Data Engineering 3.…
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