The Concept of Data Generation - MarkTechPost

Data generation (DG) refers to creating or producing new data. This can be done through various means, such as collecting data from sources, conducting surveys, performing experiments, or generating data through algorithms and simulations. The generated data can be used for various purposes, such as research, analysis, modeling, and decision-making. In machine learning, DG also consists of creating synthetic data (SD) that can be used to train and evaluate machine learning models. This process involves using various methods and algorithms to generate new data sets similar to existing ones but with some variation.