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• Hypotheses: In data science, hypotheses refer to proposed explanations or predictions about a phenomenon or relationship between variables. Hypotheses are formulated based on available data and prior knowledge, and are tested using statistical methods ... Read More >>
• Fairness: Fairness in data science refers to the absence of bias or discrimination in the data, algorithms, and models used in decision-making processes. It is important to ensure that the data used to train models is representative of the population ... Read More >>
• Packet Prioritization: Packet prioritization is the process of assigning different levels of priority to packets of data in a network based on their importance. This is done to ensure that critical data is transmitted with minimal delay and that less important da ... Read More >>