Three things to know about Azure Machine Learning Notebook VM

Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization's security and compliance policies. Data scientists working on machine learning projects need a flexible environment to run experiments, train models, iterate models, and innovate in. They want to focus on building, training, and deploying models without getting bogged down in prepping virtual machines (VMs), vigorously entering parameters, and constantly going back to IT to make changes to their environments. Moreover, they need to remain within compliance and security policies outlined by their organizations.