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• Gradient Descent: Gradient Descent is an iterative optimization algorithm used to minimize the cost function of a machine learning model by adjusting its parameters. It works by calculating the gradient of the cost function with respect to the parameters and ... Read More >>
• Network Overload: Network overload refers to a situation where the network traffic exceeds its capacity, leading to a degradation in the quality of service. In the context of data science and artificial intelligence, network overload can occur when there is ... Read More >>
• Performance Evaluation: Performance evaluation is the process of assessing the effectiveness and efficiency of a system, model, algorithm, or machine learning model. It involves measuring the accuracy, precision, recall, F1 score, AUC-ROC, and other metrics to det ... Read More >>