Glossary of Data Science and Data Analytics

What is Semi-Structured Data?

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Semi-structured data is data that is not captured or formatted by traditional methods. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema. However, the data is not completely raw or unstructured and has some structural elements, such as labels and organizational superdata, which will facilitate its analysis. The advantages of semi-structured data are that they are more flexible and simpler to scale compared to structured data.

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Discover Glossary of Data Science and Data Analytics

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Collects, processes, and displays geographic information system data and images, including GPS and satellite imagery, in order to create geographic models and data images for more accurate modeling and forecasting of trends.

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Digital citizenship is a concept that refers to individuals behaving ethically, responsibly and safely in the digital world (internet, social media, mobile devices).

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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.

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