Real-time Detection

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• Fault-tolerant: Fault-tolerant refers to the ability of a system to continue functioning properly in the event of the failure of one or more of its components. In data science and artificial intelligence, fault-tolerant systems are critical for ensuring th ... Read More >>
• Gradient: In data science, a gradient is a vector of partial derivatives of a function with respect to its input variables. It represents the direction and magnitude of the steepest increase in the function. In machine learning, gradients are used to ... Read More >>
• Mode: In statistics, mode refers to the value that appears most frequently in a dataset. It is a measure of central tendency, along with mean and median. In data science, mode is used to identify the most common value in a categorical variable. F ... Read More >>