How does Fabric integrate with machine learning platforms?

Fabric integrates with machine learning platforms by offering data science tools that allow users to build, train, and deploy machine learning models directly within the Fabric environment. Data engineers and data scientists can therefore collaborate well, sharing data and insights across system boundaries without toggling between systems constantly. Fabric supports Python and R, languages most used for the development of machine learning, which further makes the platform accessible for model development. Fabric thus streamlines the creation and deployment of models to production by embedding data science and machine learning in one platform, driving better collaboration and efficiency.