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• Model Retraining: Model retraining is the process of updating a machine learning model with new data to improve its accuracy and performance. As new data becomes available, the model is retrained to incorporate the new information and adjust its parameters. ... Read More >>
• Inferences: Inferences refer to the process of drawing conclusions or making predictions based on available data. In data science and artificial intelligence, inferences are often made using statistical models and machine learning algorithms. These mod ... Read More >>
• L1 Regularization: L1 regularization, also known as Lasso regularization, is a technique used in machine learning and statistical models to prevent overfitting and improve the model's generalization performance. It adds a penalty term to the loss function of ... Read More >>