A primer on the math, logic, and pragmatic application of JS Divergence — including how it is best used in drift monitoring — This piece is co-authored with Jason Lopatecki, CEO and Co-Founder of Arize AI In machine learning systems, drift monitoring can be critical to delivering quality ML. Some common use cases for drift analysis in production ML systems include: Detect feature changes between training and production to catch problems ahead of…