eugeneyan/applied-ml resource

Health v2 · maintenance only

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30087 stars · 3991 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of papers and tech blog posts from companies describing how they apply data science and machine learning in production. It organizes real-world case studies by topic such as data quality, recommendation, search, NLP, computer vision, and MLOps.

Use cases

• find case studies of machine learning in production
• learn how companies implement recommendation systems
• research MLOps practices at large tech companies
• find papers on applied data science techniques
• understand how to frame and deploy ML projects
• study real-world results and ROI of ML systems

When to choose

• you want industry case studies and production experience rather than academic theory
• you are designing an ML system and want to learn from companies like Airbnb, Uber, and Google
• you need a curated reading list spanning data engineering to MLOps

When to avoid

• you need runnable code or a software library
• you want step-by-step tutorials or beginner courses
• you need up-to-date coverage of the newest techniques, as entries are dated company blog posts

Facets

learning-resource · maturity active

machine-learning data-science documentation machine-learning data-science tutorials awesome-lists curated-list papers production-ml mlops case-studies tech-blogs data-engineering web-server

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markdown · JSON · MCP: product_card(name="eugeneyan/applied-ml")