eugeneyan/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

searchdata-sciencemachine-learningnatural-language-processingreinforcement-learningcomputer-visiondeep-learningproductiondata-engineeringdata-discoveryrecsysdata-qualityapplied-data-scienceapplied-machine-learning
This is stars and forks stats for /eugeneyan/applied-ml repository. As of 19 Apr, 2024 this repository has 24804 stars and 3454 forks.

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.,...
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