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• Referential Integrity: Referential Integrity is a concept in data science that ensures that relationships between tables in a database remain consistent. It is a set of rules that ensures that the data in one table that refers to data in another table is valid an ... Read More >>
• Pruning: Pruning is a technique used in machine learning and artificial neural networks to reduce the size of the model by removing unnecessary or redundant features. It involves removing the weights and connections between neurons that have little ... Read More >>
• Lagged Version: Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any specific target variable. The goal of unsupervised learning is to identify patterns and relationships in the data, and to group sim ... Read More >>