Marianna Diachuk

Conf42: Machine Learning 2021

Deploying ML models and all the things that go wrong

It’s no secret that the deployment of the Machine Learning models conceptually is far from training those models and requires a different mindset. Some deal with it by having people dedicated to work on deployment since there’s actually a lot to do even when the model is still in the development phase and some just expect data scientists to do everything from modeling and analysis to deployment...