Managing the Machine Learning lifecycle with MLflow
Details
ML development brings many new complexities beyond the traditional software development lifecycle. MLflow is an open-source project from Databricks aiming to solve some of these challenges such as experiment tracking, reproducibility, model packaging, deployment and governance, in order to manage and accelerate the lifecycle of your ML projects.
*** Agenda ***
- Presentation of MLflow: challenges it solves, its design philosophy and components
- Demo of MLflow (including the new Model Registry component)
- Questions & answers
- Cocktail and networking
*** Audience ***
This is a meetup for data professionals who want to push forward the productionization of machine learning development within their organizations: data scientists, data engineers, software and devops engineers, data project/product managers...
*** About the speaker ***
Arduino Cascella, Solutions Architect at Databricks.
*** Contact ***
Feel free to reach out to me for any questions regarding the event: florent@nibble.ai
If you have trouble finding out the place, call us: +33 673 33 11 44
Managing the Machine Learning lifecycle with MLflow