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• Non-Euclidean Distance: Non-Euclidean distance is a distance metric that does not satisfy the triangle inequality, which is a fundamental property of Euclidean distance. In other words, the distance between two points may not be the shortest path between them. Non ... Read More >>
• Decoupling: Decoupling refers to the process of separating the components of a system in order to reduce dependencies and increase modularity. In the context of data science and artificial intelligence, decoupling can be used to improve the efficiency ... Read More >>
• Network Pruning: Network pruning is a technique used in deep learning to reduce the size of a neural network by removing unnecessary connections and parameters without significantly impacting its accuracy. The goal of network pruning is to create a smaller ... Read More >>