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.
Fine-tuning is the process of optimizing a pre-trained model for a specific task. This method is an important part of the approach known as transfer learning and is widely used in modern artificial intelligence projects.
Anomali tespiti algoritmaları, veri setlerinde normal davranış kalıplarından önemli ölçüde sapan durumları otomatik olarak belirleyen matematiksel ve istatistiksel yöntemlerdir.
Generative Adversarial Networks (GANs) are artificial intelligence models that generate realistic data by training two neural networks (generator and discriminator) in a competing learning mechanism. Many variants of this technology have been developed for different use cases.
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