Collaborative Experiment Tracking with MLflow With Jason Sicotte

I will first demonstrate how MLflow is used for both experiment tracking and managing models. Then I will briefly speak about how we are currently using it for our modeling efforts at Lands' End. I also want to provide a balanced overview of the good/bad and pitfalls I have run into while trying to use the technology.

About Jason Sicotte: Most of my career has been spent on backend engineering with Java/JVM languages (Java, Groovy, Scala, Kotlin). I have more recently become a data engineer working with the data science team at Lands' End. I now spend most of my time working with Python code since that has rich tooling for the data scientists on the team.