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b'In this episode I continue the conversation from the previous one, about failing machine learning models.\\nWhen data scientists have access to the distributions of training and testing datasets it becomes relatively easy to assess if a model will perform equally on both datasets. What happens with private datasets, where no access to the data can be granted?\\nAt fitchain we might have an answer to this fundamental problem.'