This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.
It is very common for organizations to run many experiments - such as A/B tests - at the same time. The knowledge gained from these tests can only be acted upon if they are carefully managed and studied. This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle. You'll learn about the importance experiment tracking plays in ensuring reproducibility and how using it can allow you to update your internal understanding of your task more systematically. You'll also discover how to use DagsHub to manage a single data experiment, then how to scale this to many experiments.
Learn the steps involved in tracking data experiments.
Learn how to scale your use of experiments.
Learn how to use DagsHub for managing experiments and other machine learning projects.
We use DagsHub in this webinar, sign up for an account here.