Eugene Yan • 8/9/2020

Unpopular Opinion: Data Scientists Should be More End-to-End

Read Original

The article advocates for data scientists to adopt an end-to-end approach, covering problem framing, data engineering, ML modeling, and deployment. It discusses the drawbacks of over-specialization, the benefits of increased context and ownership, and references practices from companies like Stitch Fix and Netflix.

0 comments
#full stack #Data Engineering #Mlop
Unpopular Opinion: Data Scientists Should be More End-to-End

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert • 2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes
4
Wagon’s algorithm in Python
John D. Cook • 1 votes
5
An example conversation with Claude Code
Dumm Zeuch • 1 votes