Pattern recognition occurs when an algorithm places iterations or regularities within large datasets or into different datasets. It is closely related to machine learning and data mining and is even considered synonymous. This visibility can help researchers discover insights or reach conclusions that might otherwise be ambiguous.
Data anonymization techniques are the modification of data in systems in such a way as to prevent the data from pointing to a specific individual while maintaining the format and consistency of the data.
Predictive analysis is the analysis of big data to make predictions and determine the likelihood of future outcomes, trends, or events occurring.
Transformer is a model that has revolutionized the world of artificial intelligence and deep learning. Used especially in natural language processing (NLP) tasks, it has achieved extraordinary success in tasks such as machine translation, text summarization, text generation and question-and-answer systems thanks to its ability to better grasp the meaning of texts.
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