Comet Office Hours: Seven Simple Steps to Standardizing the ML Experiment (2/2/22)
Blog post from Comet
The Comet ML Office Hours, hosted by The Artists of Data Science, recently featured a session with Dr. Santona Tuli, Susan Shu Chang, and Dr. W. Ronny Huang, focusing on managing machine learning (ML) projects like industry experts. The panelists discussed the importance of clear team structures and responsibilities in managing ML pipelines, emphasizing the need for defined ownership and leveraging individual strengths within a team. They also highlighted the significance of ensuring correct model behavior in production, with suggestions such as promptly responding to alerts and using synthetic data for pre-deployment testing. The session aims to provide insights into the ML lifecycle and invites participants to engage in further discussions through Comet's various platforms and regular virtual Office Hours.
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