Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
phase, we aim to find the model parameters that best capture the patterns in the labeled data. MLE helps fine-tune the machine learning models. In the training phase, we adjust the model’s parameters to maximize the likelihood of the labeled data. Alternatively, we can use a negative log-likelihood