ML Observability: Evaluate machine learning model performance in production In training, ML engineers evaluate models using performance metrics such as accuracy, precision, recall, etc. To briefly define these terms, accuracy is... Gon Rappaport 11 min read May 22, 2023
MLOps is Not Always DevOps This article was written in collaboration with Anindya Saha (Machine Learning Platform Engineer at Lyft) and Alon Gubkin (CTO at Aporia). We all dream of... Alon Gubkin 7 min read Feb 21, 2023
