360 Tech Engineering
Aug 22, 2018 · Artificial Intelligence
Rules of Machine Learning: 43 Practical Guidelines for Building Robust ML Systems
This article translates and summarizes Martin Zinkevich’s “Rules of ML”, offering 43 concise, experience‑based recommendations that cover terminology, pipeline design, feature engineering, monitoring, training‑serving consistency, and model iteration to help engineers build reliable machine‑learning‑driven products.
ML pipelinebest practicesfeature engineering
0 likes · 35 min read