What is Microsoft Azure Machine Learning? - Definition from WhatIs.com

Azure Machine Learning Workbench: Workbench is an end-user Windows/MacOS application that handles primary tasks for a machine learning project, including data import and preparation, model development, experiment management and model deployment in multiple environments. Azure Machine Learning Experimentation Service: This service interoperates with Workbench to provide project management, access control and version control (through Git). It helps support the execution of machine learning experiments to build and train models. Experimentation also focuses on the construction of virtualized environments, which enables developers to properly isolate and operate models, and records details of each run to aid in model development. Azure Machine Learning Model Management: This service helps developers track and manage model versions; register and store models; process models and dependencies into Docker image files; register those images in their own Docker registry in Azure; and deploy those container images to a wide assortment of computing environments, including IoT edge devices.