Magdalena Kowalczuk
data & ml fan with a soft spot for OSS - driven by curiosity, eager self-learner, hackathons enjoyer, PyData and PyLadiesCon speaker and volunteer, exploring and creating content about post-deployment data science at NannyML, in my free time contributing to Narwhals and hosting open source sprints
@anopsy
Github –Session
04-23
16:10
30min
Multivariate Datastrophe: Methods to Detect Obscure Drift in Your Production Data
Magdalena Kowalczuk
Getting your model into production isn’t a trivial task, but it’s only half the battle. Ensuring that your model continues to deliver great performance over time is even more critical. In this talk I would like to present a selection of what can kill your model’s performance, zoom in on multivariate data drift, and present two methods to detect this type of drift in your production data.
PyCon: MLOps & DevOps
Titanium3