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.
One of the main keys to success in machine learning and artificial intelligence projects is the correct configuration of settings known as hyperparameters.
Neurological enhancement is the general name for advanced technologies used to improve the cognitive, emotional, and motor functions of the human brain. These technologies include systems that can read, analyze brain activity and, in some cases, provide feedback to the brain.
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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