Machine Learning Model Management - KDnuggets

When you think of Machine Learning, you think about models. These models need effective management to ensure that they are producing the outputs required to solve a specific problem or task. Machine Learning Model Management is used to help Data Scientists, Machine Learning engineers, and more to keep track and on top of all their experiments and the results produced by the model. Machine Learning Model Management sole responsibility is ensuring that the development, training, versioning and deployment of ML models is managed at an effective level. The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations. To recap and for those of you who may be unsure, MLOps is a core function to the engineering of Machine Learning.