Curated papers & articles on DS & ML in production
Learn how organizations & business solved machine learning problems, including problem statement, research, methodology, and results.
data-science machine-learning production paper code

Figuring out how to implement your ML project? Learn from how other organizations have done 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 ⏰💰📈)

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Authors original post
I work at the intersection of consumer data & tech to build machine learning systems to help customers, and write about how to be effective in data science, learning, and career.
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