Embracing Automated Retraining. How to move away from retraining at a… | by Claire Longo | Mar, 2023
Image by authorHow to move away from retraining at a set cadence (or not at all) in favor of a dynamic approachThis piece was co-authored by Trevor LaVialeWhile the industry has invested a lot in processes and techniques for knowing when to deploy a model into production, there is arguably less collective knowledge on the equally important task of knowing when to retrain a model. In truth, knowing when to retrain a model is hard due to factors like delays in feedback or labels for live predictions. In practice, many…