eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This is a curated collection of papers, articles, and blog posts detailing how companies like Google, Netflix, and Uber build and deploy machine learning and data science projects in the real world. It helps data scientists, machine learning engineers, and technical leaders understand practical challenges and solutions for productionizing ML, providing insights into various techniques and their real-world outcomes.
28,712 stars. No commits in the last 6 months.
Use this if you are a data scientist or ML engineer looking for practical examples and best practices from leading companies to implement your machine learning project effectively.
Not ideal if you are looking for introductory material on machine learning concepts or a step-by-step coding tutorial.
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Jul 18, 2024
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