Overview
Explore a 34-minute conference talk detailing Western Governors University's MLOps platform, MARVIN, and its solutions for deploying machine learning models at scale using Databricks. Discover how MARVIN addresses challenges in source control, monitoring, and standardized procedures for a student population of nearly 170,000. Learn about the platform's key components, including a Python package with MLflow wrappers and monitoring tools, and a project template repository for consistency. Gain insights into MARVIN's development process, its transformative impact, and strategies for enhancing data science workflows. Ideal for professionals in data science, engineering, and machine learning fields. Presented by Jonathan Bown, Staff MLOps Engineer, and Zach Clement, Principal MLops Engineer at Western Governors University.
Syllabus
The MLOps Platform at WGU: Solutions to Production ML with Databricks
Taught by
Databricks