Characteristics:
– A collection of data points or records used for analysis or training in AI and machine learning.
– Can include various types of data such as numbers, text, images, or audio.
– Often divided into subsets like training data, validation data, and test data to evaluate model performance.
– Structured in a way that each entry may have multiple features or attributes.
Examples:
– A set of images labeled with objects for an image recognition model.
– A spreadsheet containing customer information and purchase history for a recommendation system.
– A collection of text documents used to train a natural language processing model.
