On April 17 I had the opportunity to record an episode of Talk Python with Michael Kennedy. I remember fondly the first time I listened to his podcast years ago when I was in college, so it was a nice full circle moment to have the opportunity to be on the show. We talked about the need for Machine Learning Assurance, some of the ways Machine Learning Models can drift over time, and how to put controls in place to catch drift when it begins to occur.

Python is the most commonly used language for Machine Learning and we want to be as helpful to the Python community as possible. Give it listen and reach out with any questions or follow-up comments!

Click here to listen to the podcast.