July 31, 2020 @ 9:30am

Continuous Integration and Continuous Delivery for Machine Learning Models

Aditi Singhal, Vivek Kumar

Historically agile software development teams have adopted Continuous Integration and Continuous Deployment aka CI/CD strategy for publishing code in production. Whereas in the world of Machine Learning, in addition to traditional software, the delivery of ML systems requires updating data and models as well. This requires extending conventional CI/CD pipelines to include ML workflows such as collecting data, training, and evaluation. In this workshop, we will go over a sample workflow demonstrating a CI/CD pipeline for ML first applications. We will also look at some of the best practices such as model versioning, continuous training, and automated model evaluation.

About the Speakers

Aditi Singhal is an ML Engineer in the Azure Machine Learning team at Microsoft. She recently graduated with a Masters in Data Science from the University of Washington, Seattle.

Vivek is a Software Engineer in the Advertising team at Walmart Labs. He also graduated with a Masters in Data Science from the University of Washington, Seattle.