[Webinar] Managing the Complete Machine Learning Lifecycle

Machine learning brings new complexities beyond the traditional software development lifecycle. To address these challenges, Databricks unveiled MLflow, an open source project aimed at simplifying the entire machine learning lifecycle. MLflow allows companies of all sizes to accelerate the machine learning lifecycle by introducing simple abstractions to package reproducible projects, track results, and encapsulate models. Keep track of experiment runs and results across frameworks. Execute projects remotely on to a Databricks cluster, and quickly reproduce your runs.