Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
likelihood function represents the probability of observing the provided data given the parameters in our model. In our case, the model’s parameters are the normal distribution’s mean and standard deviation. Due to computational reasons, the log-likelihood function is often used instead of the