Databricks
MLOps
MLOps on Azure Databricks with MLflow
In this session, Oliver Koernig, a Solutions Architect at Databricks, will illustrate and demonstrate how Databricks’ managed MLflow and the Azure ecosystem can be used to effectively implement an integrated MLOps lifecycle for managing and deploying Machine learning models. Oliver will focus on the MLflow Model Registry, a centralized model store, set of APIs and […]
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