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ML Engineer MasterClass (April) | 2 seats left
When software breaks, it breaks loudly. Exceptions get thrown, error rates spike, on-call gets paged, and someone fixes it within the hour. When an ML model breaks, it just quietly gets worse. Predictions drift off target, recommendations get stale, fraud slips through, and nobody notices until a business review three weeks later surfaces a conversion drop that nobody can explain.
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