Manage the Machine Learning Lifecycle—Azure Databricks and Azure Machine Learning
Machine learning development has new complexities beyond software development. A myriad of tools and frameworks can make it difficult to track experiments, reproduce results, and deploy machine learning models.
Watch this webinar to learn how to accelerate and manage your end-to-end machine learning lifecycle with Azure Databricks—using MLflow and Azure Machine Learning to build, share, deploy, and manage machine learning applications.
Find out how to:
- Build machine learning experiments using MLflow and Azure Machine Learning.
- Deploy machine learning models built using Azure Databricks and Azure Machine Learning.