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• K-fold: K-fold is a cross-validation technique used in machine learning to evaluate the performance of a model. It involves dividing the dataset into K equal subsets or folds, where K-1 folds are used for training the model and the remaining fold i ... Read More >>
• Bayes' Theorem: Bayes' Theorem is a mathematical formula used in probability theory and statistics to calculate the conditional probability of an event based on prior knowledge of related events. It is named after Reverend Thomas Bayes, an 18th-century Bri ... Read More >>
• Exploration And Exploitation: Exploration and exploitation is a concept in data science that refers to the trade-off between trying out new things (exploration) and using what is already known to be effective (exploitation). In the context of machine learning, explorati ... Read More >>