Data Science Data Analysis Data Scientist

Introduction to Experiment Tracking

This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.

Jinen Setpal

2023년 7월 19일

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실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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.

Key Takeaways:

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.

Additional Resources

We use DagsHub in this webinar, sign up for an account here.

Code along with Jinen on Google Colab