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• 14:30, 25 February 2023 Alpha5 talk contribs created page Training-serving skew (Created page with "{{see also|Machine learning terms}} ===Training-Serving Skew in Machine Learning== Training-serving skew is a common issue when deploying machine learning models, particularly in production settings where they will be put to real world use. This term describes the difference in performance of a model during training and deployment that can arise from various sources such as different data distributions, hardware configurations or software dependencies between these envir...")