mentored by Bit
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SortClassifier — the simplest ML; putting things in categories -
FeedTraining data — the examples a model learns from; garbage-in-garbage-out -
SkewBias — where AI systems go wrong when training examples lean -
EdgeModel limitations — what a model can't do; modeling 'I don't know' as a good answer -
StakeEthics — what's at stake in deploying AI; people choosing, not rules-from-the-sky