Experimentation using Azure Machine Learning - Chandresh Khambhayata

Microsoft is pleased to announce public preview refresh of the Azure Machine Learning (AML) service. The refresh contains many new improvements that increase the productivity of data scientists. In this post, I want to highlight some of the improvements we made around machine learning experimentation, which is the process of developing, training, and optimizing a machine learning model. Experimentation also often includes auditing, governing, sharing, repeating, understanding and other enterprise-level functions. The process of developing machine learning models for production involves many steps.