BURKOV posts ML monitoring curriculum

- BURKOV published an ML monitoring and observability curriculum covering data validation, concept drift, uncertainty estimation and interpretability. - The resource is positioned as practical training and interview prep for engineers responsible for production ML systems and model governance. - Its release underscores rising demand for operational ML skills like drift detection and uncertainty quantification. (x.com)