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• Unlabeled Data: In the context of data science, unlabeled data refers to a dataset that does not have any predefined categories or labels. This means that the data has not been classified or organized in any way that would allow a machine learning algorith ... Read More >>
• Traffic Prioritization: Traffic prioritization is the process of managing network traffic to ensure that certain types of data are given priority over others. This is typically done to ensure that critical data, such as real-time video or voice communications, are ... Read More >>
• Amplification: Amplification is a technique in machine learning that involves generating training data from existing data by adding noise or perturbations to the input data. The goal of amplification is to increase the diversity of the training data, whic ... Read More >>