New @madewithml MLOps lesson on monitoring machine learning systems: - identifying drift (data, target, concept) - measuring drift on uni/multivariate data via - reducers (PCA, UAE) - detectors (chi^2, KS, MMD) - solutions (not always retraining) https://t.co/oircOJVxgo https://t.co/OaOmy8IyxQ

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New @madewithml MLOps lesson on monitoring machine learning systems: - identifying drift (data, target, concept) - measuring drift on uni/multivariate data via - reducers (PCA, UAE) - detectors (chi^2, KS, MMD) - solutions (not always retraining) https://t.co/oircOJVxgo https://t.co/OaOmy8IyxQ http://twitter.com/GokuMohandas/status/1401877477098541056 https://t.co/oircOJVxgo June 07, 2021 at 09:23PMNew @madewithml MLOps lesson on monitoring machine learning systems: - identifying drift (data, target, concept) - measuring drift on uni/multivariate data via - reducers (PCA, UAE) - detectors (chi^2, KS, MMD) - solutions (not always retraining) https://t.co/oircOJVxgo https://t.co/OaOmy8IyxQ
— Goku Mohandas (@GokuMohandas) Jun 7, 2021
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