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.
It is a three-step integration process used by companies to combine and synthesize raw data from many data sources into a data warehouse, data lake, data warehouse, relational database, or other application.
Few-shot learning is a technique that enables machine learning models to produce effective results by training them with a very small number of examples. While traditional machine learning methods require large amounts of data to achieve success, few-shot learning eliminates this requirement and provides high performance with little data.
Görüntü İşleme, dijital görsellerin analiz edilmesi, manipüle edilmesi ve bilgi çıkarılması için kullanılan bir teknolojidir. Bilgisayarların görsel verileri (fotoğraflar, videolar) anlamasını ve bu veriler üzerinde işlem yapmasını sağlar.
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