3 reasons why ML code is not like software

Talk billed as "Presented by: Conrado Miranda, CTO at Verta." Argues that copying tried-and-true DevOps processes into MLOps rarely works, drawing a parallel between developing a library and developing a model to show why machine learning operationalization needs a different approach. Posted to the Verta AI channel 2021-11-30.