Azure Machine Learning

Azure Machine Learning offers various ways to manage costs, including compute, storage, and workspace expenses. This video talks about optimizing compute resources, setting up policies, using auto-scaling, and managing quotas. It also covers best practices for selecting compute sizes for both real-time and batch inferencing, monitoring performance, and controlling costs through Azure policies. Additionally, it discusses how to organize workspaces based on team structure, region, and data considerations for efficient resource usage.