Follow
applied-ml
This repository contains a collection of curated papers, articles, and blogs on data science and machine learning in production. It could help you figure out how to implement your ML project by learning how other organizations did it. A wide range of topics are covered, including data quality, classification, regression, computer vision, team structure, and information extraction.
