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 method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
Entity Relationship Diagram (ERD) is a visual representation of the relationships between entities in a database.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.