Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved.Β In reality, itβs more like the first lap in a relay race.Β Deploying ML to production bears many similarities to a typical software release process, but brings several novel challenges like failing to generalize as expected
The post Responsibly Deploy AI in Production with Anupam Datta appeared first on Software Engineering Daily.
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