Data Augmentation Insights
Tim shares skepticism on gradient analysis methods and advocates for input-output testing with data augmentation for model interpretability. Connor and Tim discuss the importance of data scientists debugging models throughout the process to ensure models are making accurate predictions, emphasizing the need to verify models are behaving as intended.In this clip
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Machine Learning Street Talk (MLST)
Sayak Paul
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