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• Kaplan-Meier Estimator: The Kaplan-Meier estimator is a non-parametric statistic used to estimate the survival function of a population based on observed data. It is commonly used in medical research, engineering, and social sciences to estimate the probability of ... Read More >>
• Bayesian Neural Networks: Bayesian Neural Networks (BNNs) are a type of neural network that incorporates Bayesian inference into the training process. BNNs use probability distributions to represent the uncertainty in the weights and biases of the network, allowing ... 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 >>