Data Science & Machine Learning
Data Sets
A collection of related data points or records used to train, test, and validate machine learning models.
Explanation
In the context of artificial intelligence and machine learning, a data set is a structured collection of information. It typically consists of features (input variables) and, in supervised learning, labels (target outputs). Data sets are categorized into training sets, validation sets, and test sets. The training set is used to build the model, the validation set is used to tune hyperparameters, and the test set is used to evaluate final performance. The quality, size, and diversity of a data set are critical factors in determining the accuracy, reliability, and potential bias of an AI system. Data sets can be structured, such as tables and spreadsheets, or unstructured, such as images, audio, and text.