635: The Perils of Manually Labeling Data for Machine Learning Models
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Introduction
Cheyenne Mohanty is the CEO of Watchful, a Bay area startup that he co-founded. He's also a guest scientist at Los Alamos, a renowned national security lab in New Mexico. Cheyenne details why bias in general is good and why degenerative bias in particular is bad. Arguments against using the supposed gold standard of manual labeling for creating machine learning data sets.
Transcript
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