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• Regularization Parameter: In machine learning, regularization is a technique used to prevent overfitting by adding a penalty term to the loss function. The regularization parameter is a hyperparameter that controls the strength of this penalty term. A higher value o ... Read More >>
• Network Protocols: Network protocols are a set of rules and standards that govern the communication between devices in a network. These protocols define the format, timing, sequencing, and error control of data transmission over the network. Network protocols ... Read More >>
• Stochastic: Stochastic refers to a process or a system that involves a random variable. In data science, stochastic models are used to represent uncertainty and randomness in data. These models are used to make predictions and to estimate the probabili ... Read More >>