/7.2/ml/Recent content in Machine Learning on Kinetica DocsHugo -- gohugo.ioen/7.2/ml/concepts/Mon, 01 Jan 0001 00:00:00 +0000/7.2/ml/concepts/Kinetica provides a machine learning (ML) capability for simplifying and accelerating data science in a scalable fashion. With ML, users can ingest data, train models, make inferences (answers/output from models), and even audit models. ML leverages Kubernetes to deploy, train, and test models. Note To work with models in SQL, see Machine Learning (ML). For statistical analysis functions that don't require a model, see ML Functions. Concepts Registries Data Models Deployments Audits Installation Logging Concepts The ML workflow is defined by five key concepts: