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About This Course
This course covers applied machine learning for production engineering. Participants study problem framing, production data preparation and feature engineering, regression and classification methods, time series and anomaly detection, failure prediction for artificial lift, production optimisation applications, model validation, deployment and the limits of machine learning in production work.
