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.
Data Observability is the ability to monitor, diagnose, and manage the quality of data throughout the data lifecycle. It is also the discipline to automatically find out the health of your data and solve problems as soon as possible.
Neural Networks are one of the fundamental building blocks of artificial intelligence and machine learning. Inspired by the functioning of the human brain, these structures are used in solving complex problems and data processing.
AI-Etika is an interdisciplinary field that encompasses the application of ethical principles and moral values in the design, development, and use of artificial intelligence systems
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