Eugene Yan's essay, "How Reading Papers Helps You Be a More Effective Data Scientist," makes the case that research papers are not just for academics. For practitioners, reading papers can support deeper understanding of models and methods, and help build judgment about how to apply them. The essay is organized around three practical questions: why read papers, what to read, and how to read them.
The piece treats paper reading as a repeatable process rather than a one-off exercise. It suggests that data scientists should be selective about papers and adopt reading strategies that fit their time and learning goals. The emphasis is on becoming better at day-to-day work, not on chasing every new result.
Because this article is based on a single source, there are no differing viewpoints to compare. The full argument can be found in the original essay at eugeneyan.com.