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What is Synthetic Data?

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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

Generative Adversarial Networks (GANs)

Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used…

Probabilistic Graphical Models

Probabilistic Graphical Models is a type of statistical model used in Machine Learning and Artificial Intelligence. They represent complex relationships between variables through graphs…

Support Vector Machines

Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…

Multimodal Learning

Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple…
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