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• Non-Parametric Test: Non-parametric tests are statistical methods used to analyze data that do not meet the assumptions of parametric tests, such as normality and homogeneity of variance. These tests are also known as distribution-free tests, as they do not req ... Read More >>
• AdaBoost: AdaBoost (Adaptive Boosting) is a machine learning algorithm that combines multiple weak classifiers to create a strong classifier. In AdaBoost, each weak classifier is trained on a subset of the data, and the algorithm assigns higher weigh ... Read More >>
• Message Passing Interface: Message Passing Interface (MPI) is a standardized communication protocol used in parallel computing systems to enable communication between multiple processes running on different nodes. It allows for the exchange of data and messages betwe ... Read More >>