The most essential ingredient for all Machine Learning and Artificial Intelligence projects.
- Unstructured Data: Raw, unprocessed data. Textual data is a prime example, as it is not organized into specific features or formats.
- Structured Data: Data that has been processed to be compatible with Machine Learning algorithms, often labeled in the case of Supervised Learning. It is data that has been prepared, such as through annotation on the Appen data annotation platform.
- Data Augmentation: The process of enriching a dataset by adding new information, typically through annotation, derived from both internal and external sources.