Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) will be similar to each other but different from those in the other group. It is required for data mining and exploration, and is commonly used in the bioinformatics industry and other sectors within the scope of machine learning, pattern recognition, image analysis, and analyzing large datasets.
Küçük dil modelleri (Small Language Models - SLM), genellikle 1 milyar ila 20 milyar parametre arasında değişen kapasiteye sahip olan, düşük hesaplama gücü gerektiren doğal dil işleme sistemleridir.
Federated Learning is a collaborative learning method that enables machine learning models to be trained distributed across multiple devices without user data being sent to a central server.
Algorithm is mathematical logic or a set of rules used to perform calculations.
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