Blog: Automated monitoring of data drift in machine learning models – Morris Opazo

Data drift is a phenomenon in which the input variables of a model changetheir usual behavior, generating a decrease in the performance of the model.Therefore, generating processes for monitoring potential changes in thepopulation is key when deploying a model in a productive environment