Azure Machine Learning services ease data science struggles

At a high level, a data science workflow consists of model development, experimentation and tuning, which then culminate in model deployment and management. Azure Machine Learning Workbench addresses the first step in that process. Unlike the existing Azure Machine Learning development interface, Workbench is a packaged client application for Windows or macOS. Workbench provides a data science integrated development environment that facilitates data ingestion and preparation, model development and testing, and deployment to various runtime environments. Much like Visual Studio, Workbench uses a project metaphor to manage development via a logical container for model code, raw and processed data, Model Metrics and Run History.