Struggles and Solutions
Tim and Eric discuss the challenges of governance and accountability in machine learning projects, drawing parallels to software testing. They delve into the importance of standardization and the need for clear accountability, touching on the ethical implications of autonomous vehicles. The conversation transitions to the technical aspects of triplet loss and its significance in one-shot learning systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
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