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What is Synthetic Data?

Synthetic data refers to artificially generated data that mimics real-world data while preserving privacy and security. It is used in AI training, testing environments, and data augmentation to enhance model performance.

Data Structure
Data structure refers to an organized way of storing and managing data efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. It forms the foundation of algorithms and software development, optimizing search, sorting, and data manipulation tasks. Data structures are critical in database design, AI models, and real-time computing systems.
Data visualization
Data visualization is the graphical representation of information through charts, graphs, and dashboards. It simplifies complex datasets, enhances understanding, and enables data-driven decision-making across industries.
Unstructured Data
Unstructured data refers to data that does not follow a predefined format, such as text, images, videos, and social media posts. It requires advanced processing techniques like NLP and deep learning for analysis.

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