On March 7th, our team hosted a live webinar—Managing the Complete Machine Learning Lifecycle—with Andy Konwinski, Co-Founder and VP of Product at Databricks.
In this webinar, we walked you through how MLflow, an open source framework for the complete Machine Learning lifecycle, helps solve for challenges around experiment tracking, reproducible projects and model deployment. Specifically, we covered:
In particular, we showed you how to:
We demonstrated these concepts using notebooks and tutorials from our public documentation so that you can practice at your own pace. If you’d like free access Databricks Unified Analytics Platform and try our notebooks on it, you can access a free trial here.
We received so many questions from you at the end of the webinar, that we decided to hold a live session on Apr 11, 11am PST - Understanding MLflow: Ask the Experts - with Co-founders Matei Zaharia, Chief Technologist, and Andy Konwinski, VP of Product to answer them live!
Save your spot now to understand how MLflow works under the hood, get exclusive insights into our roadmap, and ask your questions!