Brain-inspired Algorithms

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• Features: In Data Science, features refer to the measurable properties or characteristics of a phenomenon or object that are used to build a predictive model. These features can be numerical or categorical and are used to represent the input data in ... Read More >>
• Pearson Chi-squared Test: Pearson Chi-squared Test is a statistical test that measures the degree of association between two categorical variables. It is used to determine whether there is a significant difference between the expected frequencies and the observed fr ... Read More >>
• Model Performance: Model performance refers to the ability of a machine learning model to accurately predict outcomes on new, unseen data. It is a measure of how well the model has learned the underlying patterns and relationships in the training data. Model ... Read More >>