This group is for everyone interested in managing and automating machine learning pipelines, to bring data science into business applications.
Our events range from social gathering over a drink to technical workshops and conversations with industry leaders. Our topics cover putting models in production, running experiments, versioning, reproducibility, bias control, data access, drift...
This topic is still in its infancy and it's important to foster the sharing of experiences and lessons learned: this is our purpose.
Whether your focus is on data science, data engineering, IT Ops... you're welcome to join. What brings us together is our willingness to push forward the productionization of machine learning within our organizations and help data science deliver more value.
*** This event will be updated will the location shortly, you might have to book a ticket, we will keep you updated here. ***
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: [masked]