Simon Mo

By Simon Mo, Edward Oakes and Michael Galarnyk This post is based on Simon Mo’s “Patterns of Machine Learning in Production” talk from Ray Summit 2021. Over the past couple years, we've listened to ML practitioners across many different industries to learn and improve the tooling around ML production use cases. Through this, we've seen 4 common patterns of machine learning in production: pipeline, ensemble, business logic, and online learning.