Probability, Data Science, Machine Learning, Data Visualization.
statistical model. It seeks the parameter values that maximize the likelihood function, making the observed data the most probable. MLE is widely applied in machine learning for parameter estimation in models like linear regression and logistic regression. Bayesian Estimation In contrast to MLE,