7 Simple Steps to Standardizing the ML Experiment (Jan. 26)
Blog post from Comet
The session discussed in the Comet ML Office Hours series, held on January 26, 2022, focused on data-related topics such as understanding, validating, versioning, and engineering data, emphasizing the critical role of good data in model performance. Key speakers included Jimmy Whitaker, Dr. Abe Gong, and Matt Blasa, who shared insights on data governance and the concept of "Data Curators," a term that led to a discussion about diversifying the "Data Scientist" title into multiple job roles. A notable story highlighted the challenges of data versioning, particularly in Natural Language Processing models that inconsistently output dates as digits or words. The session underscored the importance of proper data management in machine learning experiments and invited participants to explore further resources and discussions available on Comet's platforms.
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