PyData NYC 2022

Emmanuel Naziga

Emmanuel Naziga is a machine learning engineer at Munich RE. He currently works on developing ML models as well as the infrastructure to enable the deployment of production ML systems. Previously he obtained a doctorate in computational science and carried out postdoctoral research in computational biophysics and genomics.

The speaker's profile picture

Sessions

11-10
13:30
45min
Model Upgrade Schemes: Considerations for Updating Production Models
Emmanuel Naziga, Munaf A Qazi

An important aspect of having a healthy Machine Learning Operations (MLOps) pipeline in a production setting is the ability to retrain models as required. This might be as a response to changes in the data distribution, performance degradation or at well-defined time posts due to, for example, regulatory requirements.

Winter Garden (5th floor)