What is Synthetic Data?

Skill Level:

Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is unavailable or insufficient. Synthetic Data can improve model accuracy and reduce privacy concerns when handling sensitive data.

Other Definitions

Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates…
Dimensionality Reduction is the process of reducing the number of variables or features in a dataset while retaining its essential information. By eliminating irrelevant…
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used…