Every phase of the life of machine learning models | IABAC

Data collection, model training, testing, deployment, monitoring, and maintenance are the primary phases of a machine learning model's life cycle that are depicted in this graphic. It emphasizes how MLOps links these stages to provide dependable and seamless ML model administration.

https://iabac.org/blog/the...