Intro to MLOps: Build, Deploy, and Retrain a Model in Production

Speaker's Bio:
Jimmy Whitaker
Data Science Evangelist, Pachyderm
Jimmy Whitaker is the Data Science Evangelist at Pachyderm. He focuses on creating a great data science experience and sharing best practices for how to use Pachyderm. When he isn’t at work, he’s either playing music or trying to learn something new, because “You suddenly understand something you’ve understood all your life, but in a new way.”
Abstract:
As teams ramp up their Machine Learning capabilities, the need for a robust MLOps pipeline has emerged. How can your team train and deploy models quickly to production? Join us for this workshop as we use Open Source tools to develop a robust MLOps stack.