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• Regularization: Regularization is a technique used in machine learning to prevent overfitting and improve the generalization of the model. It involves adding a penalty term to the loss function that the model is trying to optimize. This penalty term discou ... Read More >>
• Unsupervised Machine Learning: Unsupervised machine learning is a type of machine learning where the model is trained on a dataset without any predefined labels or target variables. The goal of unsupervised learning is to identify patterns and relationships in the data t ... Read More >>
• Tailgating: Tailgating is a technique used in anomaly detection in which an attacker gains access to a network by closely following an authorized user. The attacker waits for the authorized user to authenticate and gain access to the network, and then ... Read More >>