Session Information
In addition to covering the basics of building and deploying machine learning models with Azure Machine Learning, this session on Azure ML also discusses the concept of MLOps (short for “”machine learning operations””). One key aspect of MLOps is the use of feature stores, which are centralized data repositories that enable machine learning teams to store and manage the data features used to train and deploy machine learning models.
During this session on Azure ML, attendees may learn about the various tools and practices that are available to support MLOps, and how they can be used to improve the efficiency and effectiveness of machine learning projects.
