Metric Automation Challenges
Daniel and Shreya explore the complexities of tracking class representation changes in machine learning metrics. Shreya emphasizes the need for a systematic approach to identify which metrics signify success over time, suggesting that automation could play a crucial role. The conversation raises important questions about how to effectively monitor and adapt metrics in an evolving landscape.In this clip
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The Gradient
Shreya Shankar: Machine Learning in the Real World
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