Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Artificially generated data that mimics real data, used for training machine learning models.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
The process of creating visual representations of data or information to enhance understanding and decision-making.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes.
A research approach that starts with observations and develops broader generalizations or theories from them.