Abstract: Managing your machine learning experiments can be a painful and tedious process. But the good news is that it doesn’t have to be. Managing experiments can be straightforward and simple. This introductory course will help you understand the key concepts of experiment management and how to implement it at your organization.
In this session, you’ll learn tangible and critical techniques for successfully managing your experiments in an automated fashion, at scale.
Bio: Ayodele Odubela is a Data Science Advocate for Comet ML. She combines her background in marketing and passion for data and analytics to educate Data Scientists on model reproducibility and experiment tracking. She earned her Master's degree in Data Science from Regis University after working in various digital marketing roles at agencies and startups. She's passionate about data justice, kayaking, and hockey.