Abstract
A machine learning (ML) solution can be non-robust and when it is deployed, can make mistakes on the future unseen data. Consequently, deployment of a ML solution might demand continuous service from its ML developer. Using wafer image classification as an example, this paper presents the design of a ML solution where its deployment is facilitated by the continuous service from its ML expert.
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