Machine learning

Feature platforms, model operations, and the engineering discipline behind production ML.

• "Feature stores: when your ML platform needs one" · Note · Every ML team eventually hits the same wall: the model that worked in the notebook fails in production, and the root cause is features. Training used one definition of "user's 30 day…