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.
Zero-shot learning (ZSL) is an AI technique that enables machine learning models to learn tasks or classes they have never encountered before, without any training data.
Integration is a process that allows different systems, applications or processes to work together in a common structure. With the development of technology, the need for integration processes has increased so that organizations can work more efficiently, harmoniously and quickly.
MLOps is, in simple terms, a set of applications aimed at improving communication and collaboration between your employees in data science and operations of your brand. Machine learning is also defined as a combination of data engineering and development activities.
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