Rings
In Data Science, rings refer to circular data structures that allow for efficient access and manipulation of data. Rings are often used in machine learning algorithms, such as decision trees and neural networks, to represent hierarchical relationships between data points. They can also be used in data visualization to represent cyclical patterns or relationships between variables. Rings are typically implemented using circular buffers or linked lists, which allow for constant-time access to the next or previous element in the ring. In addition to their use in machine learning and data visualization, rings have applications in computer graphics, cryptography, and network protocols.
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