This post is in continuation of the previous post : How to Version Control your Machine Learning - I. If you have not read the previous… (more…)

Digital Twins are great, but they have some real pain points : cost of scanning cost of modelling massive data I believe Machine Learning will be used to solve those practical issues. New ML algori… (more…)

ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is underspecified when it can return many predictors with equivalently stron... (more…)

CMU course that covers how to build, deploy, assure, and maintain software products with machine-learned models. Includes the entire lifecycle from a prototype ML model to an entire system deployed in production. Covers also responsible AI (including safe... (more…)

We’ve listed common types of data bias in machine learning to help you analyze and understand where it happens, and what you can do about it. (more…)