Cross-validation (statistics)Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistical analysis will generalize to an independent data set. Cross-validation is a resampling method that uses different portions of the data to test and train a model on different iterations. It is mainly used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice.
Cultural studiesCultural studies, also called the cultural sciences, is an interdisciplinary field or scientific branch that examines the dynamics of contemporary culture (including its politics and popular culture) and its historical foundations. Cultural studies researchers generally investigate how cultural practices relate to wider systems of power associated with, or operating through, social phenomena. These include ideology, class structures, national formations, ethnicity, sexual orientation, gender, and generation.
Training, validation, and test data setsIn machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical model from input data. These input data used to build the model are usually divided into multiple data sets. In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets.
Black studiesBlack studies, or Africana studies (with nationally specific terms, such as African American studies and Black Canadian studies), is an interdisciplinary academic field that primarily focuses on the study of the history, culture, and politics of the peoples of the African diaspora and Africa. The field includes scholars of African-American, Afro-Canadian, Afro-Caribbean, Afro-Latino, Afro-European, Afro-Asian, African Australian, and African literature, history, politics, and religion as well as those from disciplines, such as sociology, anthropology, cultural studies, psychology, education, and many other disciplines within the humanities and social sciences.
