“MLops, or machine learning operations, is the practice of collaboration and communication between data science, IT, and the business to help manage the end-to-end life cycle of machine learning ...

Deepchecks brings a new approach to MLOps, improving models by adding validation to every step of the machine-learning life cycle.” Deepchecks co-founder and CTO Shir Chorev said: “Deepchecks ...

SDLC’s equivalent in machine learning model management is modelops, a set of practices for managing the life cycle of machine learning models. Modelops practices include how data scientists ...

Researchers from the Complexity Science Hub and Santa Fe Institute have created a mathematical model to calculate the ideal pace at which organisms should learn, based on environmental change and life ...