Skip to main content
Ryan Orban

Ryan Orban

Subject
2 entries

Reflection

Bookmarks

  1. Reflecting on a Year of Making Machine Learning Actually Useful

    Shreya Shankar's honest reflection on a year trying to make machine learning actually useful in industry — covering the gap between academic ML and production, the underappreciated role of data work, and why most ML projects fail before the model stage. One of the most cited personal essays in the MLOps space.

  2. One Year as a Data Scientist at Stack Overflow

    David Robinson's retrospective on his first year as a data scientist at Stack Overflow — what he learned, where the role differed from academic statistics, and why communication matters more than algorithms. A grounded career reflection that aged well.

All bookmarks