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• Oscillators: In data science and artificial intelligence, oscillators refer to algorithms or models that generate periodic or cyclical patterns. These patterns can be used to analyze and predict trends in various types of data, including financial marke ... Read More >>
• Labeling: Labeling is the process of assigning one or more meaningful and informative tags or labels to a dataset or a subset of it. The purpose of labeling is to provide a clear understanding of the data and to make it easier to analyze and interpre ... Read More >>
• Collisions: In data science, collisions refer to the situation where two or more distinct pieces of data are mapped to the same location in a data structure, such as a hash table. Collisions can occur when the hash function used to map data to location ... Read More >>