Databricks talks about the latest developments and best practices for managing the full ML lifecycle on Databricks with MLflow.
Part 1: Opening Keynote and Demo
- MLOps and ML Platforms State of the Industry, opening Keynote with Matei Zaharia, Co-founder and CTO at Databricks and Clemens Mewald, Director of Product Management at Databricks – https://youtu.be/9Ehh7Vl7ByM – Slideshare: https://www.slideshare.net/databricks/mlops-virtual-event-building-machine-learning-platforms-for-the-full-lifecycle
- Operationalizing Data Science & ML on Databricks using MLflow (Demo) with Sean Owen, Principal Solution Architect at Databricks – https://youtu.be/cxAmu9w8BFo
- Live Q&As – https://youtu.be/AQqqK5hRY5g
Resources:
- Get started: https://databricks.com/try
- Open Source MLflow: https://mlflow.org
- Managed MLflow: https://databricks.com/mlflow
- MLflow Free Tutorials: https://www.meetup.com/data-ai-online/events/270223876/
- Documentation: https://docs.databricks.com/applications/mlflow/index.html
