Unstructured data is unfiltered information to which a fixed editing policy is not applied. It is often referred to as raw data. Common examples are internet logs, XML, JSON, text documents, images, videos and audio files. Unstructured data is searched and analyzed to extract useful facts. Up to 80% of enterprise data is unstructured. This means that it is the type of big data that is most visible to many people. The size of unstructured data requires scalable analytics to generate insights. Unstructured data is present in most, but not all, data lakes due to low storage costs.
Data literacy is the ability to read, evaluate, discuss and work with data/information. It can also be defined as a skill that enables everyone to ask the right questions, gather information, evaluate, and communicate effectively with others.
Neural Style Transfer (NST) is a method of applying the style of one image to another using artificial neural networks. Using deep learning algorithms, this technique combines two images: the style of one (e.g. a work of art) and the content of the other (e.g. a photograph) to create an expressive and artistic result.
Llama (Large Language Model Meta AI) is a large language model developed by Meta (formerly Facebook).
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