MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks

Abstract: 

"MLOps" is a hot topic, as teams grapple with productionizing machine learning. Now, they need monitoring, lineage, deployment tools, not just modeling libraries. This talk introduces tools from Databricks, like open source MLflow and Delta, as well as a Feature Store, and how they help mitigate MLOps pain points.

Bio: 

Sean is a principal solutions architect focusing on machine learning and data science at Databricks. He is an Apache Spark committer and PMC member, and co-author Advanced Analytics with Spark. Previously, he was director of Data Science at Cloudera and an engineer at Google.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google